Group items tagged

The Chemical Theory, Models and Computational Methods program supports the discovery and development of theoretical and computational methods or models to address a range of chemical challenges, with emphasis on emerging areas of chemical research.  Proposals that focus on established theoretical or computational approaches should involve innovative additions or modifications that substantially broaden their applicability.  Areas of interest include, but are not limited to, electronic structure, quantum reaction dynamics, statistical mechanics, molecular dynamics, and simulation and modeling techniques for molecular systems and systems in condensed phases.  Areas of application span the full range of chemical systems from small molecules to mesoscopic aggregates, including single molecules, biological systems and materials in condensed phases.   Despite the diverse application areas, the goal of the program is to support the development of new theoretical and computational methodologies that have the potential of being broadly applicable to a range of challenging chemical problems. We are particularly interested in fundamental areas of chemical research that are difficult or impossible to address using current synthetic, experimental, and/or computational methodologies.  We encourage the integration of innovative software development with methodological and algorithmic development, especially computational approaches that allow efficient utilization of the high end computers of the future.

The consequences of climate variability and change are becoming more immediate and profound than previously anticipated. Over recent decades, the world has witnessed the onset of prolonged droughts on several continents, increased frequency of floods, loss of agricultural and forest productivity, degraded ocean and permafrost ecosystems, global sea level rise and the rapid retreat of ice sheets and glaciers, loss of arctic sea ice, and changes in ocean currents. These important impacts highlight that climate variability and change can have significant effects on decadal and shorter time scales, with significant consequences for plant, animal, human, and physical systems. The EaSM funding opportunity enables interagency cooperation on one of the most pressing problems of the millennium: climate change and??how it is likely to affect our world. It allows the partner agencies -- National Science Foundation (NSF) and??U.S. Department of Agriculture (USDA) -- to combine resources to identify and fund the most meritorious and highest-impact projects that support their respective missions, while??avoiding duplication of effort and fostering collaboration between agencies and the investigators they support.This interdisciplinary scientific challenge calls for the development and application of next-generation Earth System Models that include coupled and interactive representations of such??components as ocean and atmospheric currents, agricultural working lands and forests,?? biogeochemistry, atmospheric chemistry,?? the water cycle and land ice.?? This solicitation seeks to attract scientists from the disciplines of geosciences, agricultural sciences, mathematics and statistics. Successful proposals will develop intellectual excitement in the participating disciplinary communities and engage diverse interdisciplinary teams with sufficient breadth to achieve the scientific objectives. 

This two-day conference focuses on translational aspects of addiction research among chemists, biologists, and behavioral scientists. The diversity of participants and attendees at this meeting (undergraduate students to senior faculty, chemists to psychiatrists) provides a unique venue for cross-fertilization among different disciplines and in so doing promotes new and innovative approaches to medications development in addictions biology. The meeting provides a stimulating environment for young scientists who are strongly encouraged to present their work and interact with senior scientists.

Partnerships for International Research and Education (PIRE) is an NSF-wide program that supports international activities across all NSF supported disciplines. The primary goal of PIRE is to support high quality projects in which advances in research and education could not occur without international collaboration. PIRE seeks to catalyze a higher level of international engagement in the U.S. science and engineering community. International partnerships are essential to addressing critical science and engineering problems. In the global context, U.S. researchers and educators must be able to operate effectively in teams with partners from different national environments and cultural backgrounds. PIRE promotes excellence in science and engineering through international collaboration and facilitates development of a diverse, globally-engaged, U.S. science and engineering workforce.

The Chemical Theory, Models and Computational Methods program supports the discovery and development of theoretical and computational methods or models to address a range of chemical challenges, with emphasis on emerging areas of chemical research. Proposals that focus on established theoretical or computational approaches should involve innovative additions or modifications that substantially broaden their applicability. Areas of interest include, but are not limited to, electronic structure, quantum reaction dynamics, statistical mechanics, molecular dynamics, and simulation and modeling techniques for molecular systems and systems in condensed phases. Areas of application span the full range of chemical systems from small molecules to mesoscopic aggregates, including single molecules, biological systems and materials in condensed phases. Despite the diverse application areas, the goal of the program is to support the development of new theoretical and computational methodologies that have the potential of being broadly applicable to a range of challenging chemical problems. We are particularly interested in fundamental areas of chemical research that are difficult or impossible to address using current synthetic, experimental, and/or computational methodologies. We encourage the integration of innovative software development with methodological and algorithmic development, especially computational approaches that allow efficient utilization of the high end computers of the future.Proposals that utilize established theoretical and modeling approaches to solve problems in chemistry, biology or materials discovery and design may be more appropriate for other programs in either the Chemistry division or in other Divisions or Directorates.

The DMR Polymers Program supports fundamental research and education on polymeric materials and polymer science. The program portfolio is mainly experimental and highly diverse with components of materials science, chemistry, physics, and other related disciplines. While interdisciplinarity is stressed, central goals include advancing the foundations of polymer science through innovative research and education and pushing back the wide horizon of the field. Polymers are studied from the molecular level through the nano-to-macro continuum using fundamental materials-focused scientific approaches. Such approaches are experimental but may also closely integrate theoretical, computational, or cyber aspects. Broad areas addressed include synthesis, molecular and self-assembly, characterization, phase behavior, structure, morphology, and properties. Particular focus is on transformative approaches to innovative materials with superior properties, on advancing polymer fundamentals and optimizing structure-property relationships, as well as on basic research addressing major societal challenges. High-quality proposals that integrate research, education, and other broader impacts are invited.

The DMR Polymers Program supports fundamental research and education on polymeric materials and polymer science. The program portfolio is mainly experimental and highly diverse with components of materials science, chemistry, physics, and other related disciplines. While interdisciplinarity is stressed, central goals include advancing the foundations of polymer science through innovative research and education and pushing back the wide horizon of the field. Polymers are studied from the molecular level through the nano-to-macro continuum using fundamental materials-focused scientific approaches. Such approaches are experimental but may also closely integrate theoretical, computational, or cyber aspects. Broad areas addressed include synthesis, molecular and self-assembly, characterization, phase behavior, structure, morphology, and properties. Particular focus is on transformative approaches to innovative materials with superior properties, on advancing polymer fundamentals and optimizing structure-property relationships, as well as on basic research addressing major societal challenges. High-quality proposals that integrate research, education, and other broader impacts are invited.

The Mechanics of Materials program supports fundamental research on the behavior of solid materials and respective devices under external actions.?? A diverse and interdisciplinary spectrum of research is supported with emphasis placed on fundamental understanding that i) advances theory, experimental, and/or computational methods in Mechanics of Materials, and/or ii) uses contemporary Mechanics of Materials methods to address modern challenges in material and device mechanics and physics. Proposed research can focus on existing or emerging material systems across time and length scales. Intellectual merit typically includes advances in fundamental understanding of deformation, fracture, fatigue, and contact through constitutive modeling, multiscale and multiphysics analysis, computational methods, or experimental techniques.??Recent interests comprise, but are not limited to:?? contemporary materials including multiphase materials and material systems, soft materials, active materials, low-dimensional materials, phononic/elastic metamaterials, friction, wear;??multiphysics methods, mechanics at the nano, meso and microscale and multiscale integration thereof, as well as approaches incorporating fundamental understanding of physics and chemistry into the continuum-level understanding of the response characteristics of materials and material systems.

The purpose of the NSF Graduate Research Fellowship Program (GRFP) is to help ensure the vitality and diversity of the scientific and engineering workforce of the United States. The program recognizes and supports outstanding graduate students who are pursuing research-based master's and doctoral degrees in science and engineering. The GRFP provides three years of support for the graduate education of individuals who have demonstrated their potential for significant achievements in science and engineering.

The American Society for Radiation Oncology is accepting applications for its 2019 Minority Summer Fellowship Award. The annual program is designed to introduce medical students from backgrounds that are underrepresented in medicine to the discipline of radiation oncology early in their medical education. Although medical students in all years are encouraged to apply, preference will be given to first- and second-year students. In an effort to promote radiation oncology as a career choice, the fellowship will expose medical students to clinical, basic, and translational research questions in radiation oncology. The fellowship provides each student with a $4,500 package that includes a $3,500 stipend for the eight-week training program (exceptions can be made for a longer program but will need to be approved by ASTRO's Committee on Health Equity, Diversity and Inclusion, or "CHEDI") and $1,000 toward the cost of travel to the organization's 2019 annual meeting. To be eligible, applicants must be enrolled in a United States medical school and be able to identify a mentor with a successful record of research productivity. The mentor should be an ASTRO member. In addition, research must be undertaken at a North American institution during the summer of 2019.

In 2016, the National Science Foundation (NSF) unveiled a set of "Big Ideas," 10 bold, long-term research and process ideas that identify areas for future investment at the frontiers of science and engineering (see https://www.nsf.gov/news/special_reports/big_ideas/index.jsp). The Big Ideas represent unique opportunities to position our Nation at the cutting edge of global science and engineering leadership by bringing together diverse disciplinary perspectives to support convergence research. As such, when responding to this solicitation, even though proposals must be submitted to the Directorate for Computer & Information Science & Engineering/Office of Advanced Cyberinfrastructure(CISE/OAC), once received, the proposals will be managed by a cross-disciplinary team of NSF Program Directors. NSF's Harnessing the Data Revolution (HDR) Big Ideais a national-scale activity to enable new modes of data-driven discovery that will allow fundamental questions to be asked and answered at the frontiers of science and engineering.

The NIH Directors Pioneer Award supports individual scientists of exceptional creativity who propose highly innovative and potentially transformative research towards the ultimate goal of enhancing human health. Individuals from diverse backgrounds are encouraged to apply. Applications in all topics, including, but not limited to, the behavioral, social, biomedical, applied, and formal sciences, relevant to the broad mission of NIH are welcome and may involve basic, translational, or clinical research. To be considered pioneering, the proposed research must reflect substantially different scientific directions from those already being pursued in the investigators research program or elsewhere. The NIH Directors Pioneer Award is a component of the High-Risk, High-Reward Research program of the NIH Common Fund.

NHGRI invites applications for research developing comparative approaches that can be used to understand genome structure and function and the relationship between genomic features and phenotypes. This program supports studies that enable the use of a diverse array of species to advance our ability to understand basic biological processes related to human health and disease, as well as studies that develop novel analytical tools and resources for the comparative genomics research community.

NHGRI invites applications for research developing comparative approaches that can be used to understand genome structure and function and the relationship between genomic features and phenotypes. This program supports studies that enable the use of a diverse array of species to advance our ability to understand basic biological processes related to human health and disease, as well as studies that develop novel analytical tools and resources for the comparative genomics research community.

The Society for the Advancement of Chicanos/Hispanics and Native Americans in Science (SACNAS) invests in top STEM talent. (That's you!) Travel scholarships are just one aspect of this investment in your academic and professional success. We encourage you to apply for a SACNAS Travel Scholarship to advance your professional development and join our community at 2017 SACNAS.

: The Division of Integrative Organismal Systems (IOS) continues to support the Enabling Discovery through GEnomic Tools (EDGE) program, previously a component of the IOS Core Programs solicitation (NSF 16-505). EDGE is designed to provide support for research addressing current impediments to research progress in organismal biology. In particular, the ability to directly test gene function is essential to improve understanding of the genomes-to-phenomes relationship, an area relevant to Understanding the Rules of Life, one of 10 Big Ideas for future NSF investment (www.nsf.gov/about/congress/reports/nsf_big_ideas.pdf). EDGE projects should focus on development of functional genomic tools, approaches, and associated infrastructure to enable direct tests of hypotheses about gene function in diverse organisms for which such tools and infrastructure are presently unavailable. EDGE proposals must include training and rapid dissemination plans enabling larger communities of investigators to utilize the newly-developed tools, thereby catalyzing an increase in the capacity of research communities to test cause-and-effect hypotheses about genes and phenotypes in organisms for which such tools and infrastructure are presently lacking.

Although invention and proof-of-concept testing of new technologies are a key component of the BRAIN Initiative, to achieve their potential these technologies must also be optimized through feedback from end-users in the context of the intended experimental use. This seeks applications for the optimization of existing and emerging technologies and approaches that have potential to address major challenges associated with recording and manipulating neural activity, at or near cellular resolution, at multiple spatial and temporal scales, in any region and throughout the entire depth of the brain. This FOA is intended for the iterative refinement of emergent technologies and approaches that have already demonstrated their transformative potential through initial proof-of-concept testing, and are appropriate for accelerated development of hardware and software while scaling manufacturing techniques towards sustainable, broad dissemination and user-friendly incorporation into regular neuroscience practice. Proposed technologies should be compatible with experiments in behaving animals, and should include advancements that enable or reduce major barriers to hypothesis-driven experiments. Technologies may engage diverse types of signaling beyond neuronal electrical activity for large-scale analysis, and may utilize any modality such as optical, electrical, magnetic, acoustic or genetic recording/manipulation. Applications that seek to integrate multiple approaches are encouraged. Applications are expected to integrate appropriate domains of expertise, including where appropriate biological, chemical and physical sciences, engineering, computational modeling and statistical analysis.

Understanding the dynamic activity of neural circuits is central to the NIH BRAIN Initiative. This FOA seeks applications for proof-of-concept testing and development of new technologies and novel approaches for largescale recording and manipulation of neural activity to enable transformative understanding of dynamic signaling in the nervous system. In particular, we seek exceptionally creative approaches to address major challenges associated with recording and manipulating neural activity, at or near cellular resolution, at multiple spatial and/or temporal scales, in any region and throughout the entire depth of the brain. It is expected that the proposed research may be high-risk, but if successful could profoundly change the course of neuroscience research. Proposed technologies should be compatible with experiments in behaving animals, and should include advancements that enable or reduce major barriers to hypothesis-driven experiments. Technologies may engage diverse types of signaling beyond neuronal electrical activity for large-scale analysis, and may utilize any modality such as optical, electrical, magnetic, acoustic or genetic recording/manipulation. Applications that seek to integrate multiple approaches are encouraged. Where appropriate, applications are expected to integrate appropriate domains of expertise, including biological, chemical and physical sciences, engineering, computational modeling and statistical analysis.

n 2016, the National Science Foundation (NSF) unveiled a set of "Big Ideas," 10 bold, long-term research and process ideas that identify areas for future investment at the frontiers of science and engineering (seehttps://www.nsf.gov/news/special_reports/big_ideas/index.jsp). The Big Ideas represent unique opportunities to position our Nation at the cutting edge of global science and engineering leadership by bringing together diverse disciplinary perspectives to support convergence research. As such, when responding to this solicitation, even though proposals must be submitted to the Directorate for Mathematical & Physical Sciences/Office of Multidisciplinary Activities (MPS/OMA),once received, the proposals will be managed by a cross-disciplinary team of NSF Program Directors. The Quantum Idea Incubator for Transformational Advances in Quantum Systems (QII - TAQS) program is designed to support interdisciplinary teams that will explore highly innovative, original, and potentially transformative ideas for developing and applying quantum science, quantum computing, and quantum engineering. Proposals with the potential to deliver new concepts, new platforms, and/or new approaches that will accelerate the science, computing, and engineering of quantum technologies are encouraged. Breakthroughs in quantum sensing, quantum communications, quantum simulations, or quantum computing systems are anticipated.

The International Research Experiences for Students (IRES) program supports international research and research-related activities for U.S. science and engineering students. The IRES program contributes to development of a diverse, globally-engaged workforce with world-class skills. IRES focuses on active research participation by undergraduate or graduate students in high quality international research, education and professional development experiences in NSF-funded research areas. The overarching, long-term goal of the IRES program is to enhance U.S. leadership in research and education and to strengthen economic competitiveness through training the next generation of research leaders. This solicitation features three mechanisms; proposers are required to select one of the following tracks to submit their proposal. Track I focuses on the development of world-class research skills in international cohort experiences. Track II is dedicated to targeted, intensive learning and training opportunities that leverage international knowledge at the frontiers of research. Track III supports U.S. institutional collaborations to develop, implement and evaluate innovative models for high-impact, large-scale international research and professional development experiences for U.S. graduate students. Student participants supported by IRES funds must be citizens, nationals, or permanent residents of the United States. Students do not apply directly to NSF to participate in IRES activities. Students apply to NSF-funded investigators who receive IRES awards. To identify appropriate IRES projects, students should consult the directory of active IRES awards. All PIs, co-PIs and Senior Personnel on IRES proposals must be from U.S. based institutions.