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The National Science Foundation (NSF) Division of Chemical, Bioengineering, Environmental and Transport Systems (CBET), seeks proposals that elucidate mechanisms of, and develop strategies to, direct the differentiation of undifferentiated cells into mature, functional cells or organoids. Projects responsive to this solicitation must aim to establish a robust and reproducible set of differentiation design rules, predictive models, real-time sensing, control, and quality assurance methods, and integrate them into a workable differentiation strategy. They must develop a fundamental understanding of how cells develop, including mechanisms, molecular machinery, dynamics, and cell-cell interactions, and use this understanding to manipulate cells purposefully. Investigators can choose any undifferentiated cell type, from any animal species, as a starting point and choose any appropriate functional product (cell, organoid, etc.) with real-world relevance. This solicitation parallels NSF's investment in Understanding the Rules of Life (URoL): Predicting Phenotype, NSF's Big Idea focused on predicting the set of observable characteristics (phenotype) of an organism based on its genetic makeup and the nature of its environment and applies it to understanding and accomplishing the intentional and guided differentiation of an undifferentiated cell into cells, organoids or tissues with predetermined activities and functions.

The National Science Foundation (NSF) through its Divisions of Electrical, Communications and Cyber Systems (ECCS); Chemical, Bioengineering, Environmental and Transport Systems (CBET); Civil, Mechanical and Manufacturing Innovation (CMMI); Information and Intelligent Systems (IIS); and Mathematical Sciences (DMS) announces a solicitation on Multimodal Sensor Systems for Precision Health enabled by Data Harnessing, Artificial Intelligence (AI), and Learning. Next-generation multimodal sensor systems for precision health integrated with AI, machine learning (ML), and mathematical and statistical (MS) methods for learning can be envisioned for harnessing a large volume of diverse data in real time with high accuracy, sensitivity and selectivity, and for building predictive models to enable more precise diagnosis and individualized treatments. It is expected that these multimodal sensor systems will have the potential to identify with high confidence combinations of biomarkers, including kinematic and kinetic indicators associated with specific disease and disability. This focused solicitation seeks high-risk/high-return interdisciplinary research on novel concepts, innovative methodologies, theory, algorithms, and enabling technologies that will address the fundamental scientific issues and technological challenges associated with precision health.

The National Science Foundation (NSF) Division of Chemical, Bioengineering, Environmental and Transport Systems (CBET), seeks proposals that elucidate mechanisms of, and develop strategies to, direct the differentiation of undifferentiated cells into mature, functional cells or organoids. Projects responsive to this solicitation must aim to establish a robust and reproducible set of differentiation design rules, predictive models, real-time sensing, control, and quality assurance methods, and integrate them into a workable differentiation strategy. They must develop a fundamental understanding of how cells develop, including mechanisms, molecular machinery, dynamics, and cell-cell interactions, and use this understanding to manipulate cells purposefully. Investigators can choose any undifferentiated cell type, from any animal species, as a starting point and choose any appropriate functional product (cell, organoid, etc.) with real-world relevance.This solicitation parallels NSF's investment inUnderstanding the Rules of Life (URoL): Predicting Phenotype, NSF's Big Idea focused on predicting the set of observable characteristics (phenotype) of an organism based on its genetic makeup and the nature of its environment and applies it to understanding and accomplishing the intentional and guided differentiation of an undifferentiated cell into cells, organoids or tissues with predetermined activities and functions.

The primary objective is to support scholarships for nuclear science, engineering, technology and related disciplines to develop a workforce capable of supporting the design, construction, operation, and regulation of nuclear facilities and the safe handling of nuclear materials. The primary objective is to support fellowships for nuclear science, engineering, technology and related disciplines to develop a workforce capable of supporting the design, construction, operation, and regulation of nuclear facilities and the safe handling of nuclear materials. The primary objective is to support faculty development for nuclear science, engineering, technology and related disciplines to develop a workforce capable of supporting the design, construction, operation, and regulation of nuclear facilities and the safe handling of nuclear materials. The grants specifically target probationary, tenure-track faculty during the first 6 years of their career and new faculty hires in the following academic areas: Nuclear, Mechanical, Civil, Environmental, Electrical, Fire Protection, Geotechnical, Structural and Materials Sciences Engineering as well as Health Physics. The program provides support to enable newer faculty to enhance their careers as professors and researchers in the university department where employed.

The Division of Chemical, Bioengineering and Environmental Transport (CBET) in the Engineering Directorate of the National Science Foundation (NSF) is partnering with The Center for the Advancement of Science in Space (CASIS) to solicit research projects in the general field of tissue engineering that can utilize the International Space Station (ISS) National Lab to conduct research that will benefit life on Earth. U.S. entities including academic institutions, non-profit independent research labs and academic-commercial teams are eligible to submit proposals.

The goal of the Great Lakes Restoration Initiative (GLRI) is to target the most significant environmental problems in the Great Lakes ecosystem by funding and implementing projects that address these problems. This single source funding opportunity to The Nature Conservancy funds fee title acquisition of land from a willing seller at the Bailey's Harbor Boreal Forest and Wetlands State Natural Area in Door County, Wisconsin. The program authorizing statutes for GLRI awards are listed in CFDA number 15.662 located at CFDA.gov.

The Division of Chemical, Bioengineering, Environmental, and Transport Systems (CBET) is conducting a Re-entry to Active Research (RARE) program to reengage, retrain, and broaden participation within the academic workforce. The primary objective of the RARE program is to catalyze the advancement along the academic tenure-track of highly meritorious individuals who are returning from a hiatus from active research. By providing re-entry points to active academic research, the RARE program will reinvest in the nation's most highly trained scientists and engineers, while broadening participation and increasing diversity of experience. A RARE research proposal must describe potentially transformative research that falls within the scope of participating CBET programs.

Through this EPA program, college students can benefit people, promote prosperity and protect the planet by designing environmental solutions that move us towards a sustainable future. EPA considers projects that address challenges from a wide range of categories including water, energy, agriculture, built environment, and materials and chemicals. These can be challenges found in the developed or developing world. The P3 Award competition is a two-phase team contest. For the first phase, interdisciplinary student teams compete for $15,000 grants. Recipients use the money to research and develop their design projects during the academic year. The final projects include a Phase I project report and a Phase II proposal. In the spring, all teams submit their reports and proposals. Scores from the reports, proposals and the design presentations are combined into a final overall score for each P3 team. Based on these scores, a panel of expert judges recommend to EPA which teams should receive the EPA P3 Award and the opportunity for Phase II funding. Given to the best student designs, this is an award and opportunity for grant funding up to $75,000 to further the project design, implement it in the field, and move it to the marketplace.

DOE-NE's mission is to encourage development and exploration of advanced nuclear science and technology. DOE-NE promotes nuclear energy as a resource capable of meeting the nation's energy, environmental, and national security needs by resolving scientific, technical, and regulatory challenges through research, development, and demonstration. IUP supports DOE-NE's Nuclear Energy University Program (NEUP), which enables outstanding, cutting-edge, and innovative research at U.S. IHEs through the following: * Integrating research and development (R&D) at U.S. IHEs, national laboratories, and industry to revitalize nuclear education and support NE'sPrograms * Attracting the brightest students to the nuclear professions and supporting the nation's intellectual capital in science and engineering disciplines * Improving U.S. IHE's infrastructure for conducting R&D and educating students * Facilitating knowledge transfer to the next generation ofworkers Educating undergraduate and graduate students in NS&E will: * Support the ongoing need for personnel who can develop and maintain the nation's nuclear power technology * Enhance the R&D capabilities of U.S. IHEs * Fulfill national demand for highly trained scientists and engineers to work in NS&E areas

Navigating the New Arctic (NNA) embodies an important forward-looking response by the Foundation to these profound challenges. NNA seeks innovations in fundamental convergence research across the social, natural, environmental, computing and information sciences, and engineering that address the interactions or connections among natural and built environments and social systems, and how these connections inform our understanding of Arctic change and its local and global effects. This solicitation requests proposals that fall within one of three tracks: NNA Planning Grants, dedicated to developing convergence research questions and teams to tackle projects of larger scope in the future; NNA Research Grants, aimed to support creative projects on fundamental research that address convergent scientific and engineering challenges related to the rapidly changing Arctic; and NNA Collaboratory Grants, designed to support collaborative teams undertaking research and training initiatives on critical themes of a broad scope related to the New Arctic.

The goals of the Network for Computational Nanotechnology (NCN) are to: 1) accelerate the transformation of nanoscience to nanotechnology through the integration of simulation with experimentation; 2) engage an ever-larger and more diverse cyber community sharing novel, high-quality nanoscale computation and simulation research and educational resources; 3) develop open-access, open-source software to stimulate data sharing; and 4) inspire and educate the next-generation workforce. The NCN consists of a stand-alone Cyber Platform, which provides computation, simulation, and education services to over 330,000 researchers, educators, students, and industry members of the nanoscience and engineering community annually worldwide; and Nodes, which develop compelling new computational and simulation tools to disseminate through Cyber Platform (nanoHUB.org) and cultivate communities of users in emerging areas of nanoscale science and engineering.

The purpose of this Funding Opportunity Announcement (FOA) is to stimulate multidisciplinary research projects from the scientific community that use a combination of animal/cell models and non-invasive human placenta tissues or biomarkers to investigate how early life exposures affect placental growth, development, and function, and the subsequent health of the offspring.

he purpose of this program is to investigate and evaluate advanced fuels and fuel technologies, fuel system component development, advanced combustor and augmentor designs, advanced fuel properties measurements, fuel system component development and safety and combustion emissions along with their integration into advanced aerospace applications and advanced technologies to prevent and mitigate fuel biodeterioration. Research will be performed to characterize and develop advanced fuels- and combustion-related technologies for use at all operating conditions in current and advanced weapons systems. 

Field corn production makes incredible contributions to human nutrition as a primary source of feed for cattle, hogs, and poultry; to cleaner air and reduced greenhouse gases as the source of ethanol fuel; and to the economy.

Asstated intheStrategy for American Leadership in Advanced Manufacturing,worldwide competition in manufacturing has been dominated in recent decades by the maturation, commoditization, and widespread application of computation in production equipment and logistics, effectively leveling the global technological playing field and putting a premium on low wages and incremental technical improvements.[1] The next generation of technological competition in manufacturing will be dictated by inventions of new materials, chemicals, devices, systems, processes, machines, design and work methods, social structures and business practices. Fundamental research will be required in robotics, artificial intelligence, biotechnology, materials science, sustainability, education and public policy, and workforce development to take the lead in this global competition. The research supported under this solicitationwillenhance U.S. leadership in manufacturing far into the future by providing new capabilitiesfor established companies andentrepreneurs,improving ourhealth and quality of life,andreducingthe impact of manufacturing industries on the environment.

This FOA seeks applications on research to develop techniques, tools, and methodologies that improve detection and assessment of CO2 stored in the target reservoir. Research products developed under this FOA are expected to include monitoring tools and techniques, as well as validation of models and modeling techniques. Successful technologies developed under this FOA will decrease the operator's financial burden associated with long-term monitoring by providing them the capability to assess the position of the CO2 plume in the target reservoir with greater certainty throughout the life cycle of the project (i.e., active- and post-injection).