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The Chan Zuckerberg Initiative (CZI) seeks to support up to 10 Imaging Scientists who will work at the interface of biology, microscopy hardware, and imaging software at imaging centers across the United States. "Imaging Scientists" might be engineers, physicists, mathematicians, computer scientists, or biologists who have focused on technology development in either microscopy or data analysis fields. The primary goal of the program is to increase interactions between biologists and technology experts. The Imaging Scientists will have expertise in microscopy hardware and/or imaging software. A successful "Imaging Program" will employ an Imaging Scientist who: a) works collaboratively with experimental biologists on projects at the imaging center; b) participates in courses that disseminate advanced microscopy methods and analysis; c) trains students and postdocs in imaging technology; d) participates in a network of CZI Imaging Scientists to identify needs and drive advances in the imaging field; e) attends twice-yearly CZI scientific workshops and meetings in imaging and adjacent biomedical areas. Each grant will fund salary and fringe benefits for an Imaging Scientist at the center, a modest travel and teaching budget, plus 15% indirect costs. The award period is three years plus an additional two years if the Imaging Program passes a review at year three.

The Advanced Manufacturing (AM) program supports the fundamental research needed to revitalize American manufacturing to grow the national prosperity and workforce, and to reshape our strategic industries. The AM program accelerates advances in manufacturing technologies with emphasis on multidisciplinary research that fundamentally alters and transforms manufacturing capabilities, methods and practices. Advanced manufacturing research proposals should address issues related to national prosperity and security, and advancing knowledge to sustain global leadership. Areas of research, for example, include manufacturing systems; materials processing; manufacturing machines; methodologies; and manufacturing across the length scales. Researchers working in the areas of cybermanufacturing systems, manufacturing machines and equipment, materials engineering and processing, and nanomanufacturing are encouraged to transcend and cross domain boundaries. Interdisciplinary, convergent proposals are welcome that bring manufacturing to new application areas, and that incorporate challenges and approaches outside the customary manufacturing portfolio to broaden the impact of America's advanced manufacturing research. Proposals of all sizes will therefore be considered as justified by the project description. Investigators are encouraged to discuss their ideas with AM program directors well in advance of submission at AdvancedManufacturing@nsf.gov.

The typical method for the application of seasoning is for the chips to pass through a curtain of falling powder. This system has the undesirable side effect of a portion of the seasoning falling between chips. To counter this inefficiency, this seasoning can be recycled for use during later production runs. Unfortunately, the flow characteristics of the powdered seasoning can be negatively impacted by exposure to air or airborne oil particles, limiting reuse potential.

Treatment of these powders by way of irradiation can be effective, however, this technique is not permitted without proper labeling in certain global regions. Given the large surface area of the powders in question, other methods of microbial eradication have typically been ineffective.

General Electric invites proposals for technologies, processes or methods to ensure that B-nut fitting assemblies are properly assembled and leak-proof. GE Aviation, a world-leading provider of commercial, military and business and general aviation jet and turboprop engines and components as well as avionics, electrical power and mechanical systems for aircraft. It also provides aftermarket services to support its products. A key objective for the organization to deliver a continually-growing installed bases of jet engines is to ensure that the approaches used to properly assemble components are efficient and effective.

This Funding Opportunity Announcement (FOA) intends to accelerate the integration and use of scalable technologies and tools to enhance and reinvigorate brain cell census research, including the development of technology platforms and/or resources that will enable a swift and comprehensive survey of brain cell types and circuits. Of particular interest are those that will (a) improve technology and resource platforms to remove limitations and bottlenecks in the current pipeline of brain cell census data generation; (b) integrate experimental and computational methods to enhance capabilities of cell census data generation and analysis and to reduce barriers to hypothesis-driven research; (c) generate a substantial amount of spatiotemporal cell census data and/or resources to demonstrate the utility of the improved technology and resource platforms; and (d) conduct comparative studies by using proper criteria to evaluate and benchmark quality of biospecimen, performance of cell census tools/technologies, and effectiveness of computational approaches. The projects funded under this FOA will align with the overarching goals of the BRAIN Initiative Cell Census Network (BICCN) and are expected to generate a substantial amount of cell census data using the proposed technologies or via collaboration with the BICCN.

The Advanced Manufacturing (AM) program supports the fundamental research needed to revitalize American manufacturing to grow the national prosperity and workforce, and to reshape our strategic industries. The AM program accelerates advances in manufacturing technologies with emphasis on multidisciplinary research that fundamentally alters and transforms manufacturing capabilities, methods and practices. Advanced manufacturing research proposals should address issues related to national prosperity and security, and advancing knowledge to sustain global leadership.

The HVSI funds and performs a range of hypersonic research tasks in support of the Department of Defense (DoD) High Performance Computing Modernization Program (HPCMP). HPCMP desires to improve computational simulations of hypersonic vehicles in support of DoD goals by accelerating the successful development of HPC software and hardware. The HVSI will be looking to improve computational simulation approaches including numerical methods, modeling approaches, and simulation of a variety of aerothermodynamic and propulsion aspects of hypersonic flight. Specific science and technology areas include turbulence, boundary layer transition, fluid-structure-thermal interactions, non-equilibrium chemistry, ablation, and combustion.

The purpose of this FOA is to support a more efficient method for jurisdictions to de-duplicate the National HIV Surveillance System. The applicant will develop a privacy data-sharing tool capable of identifying potential duplicates across jurisdictions. Activities will include acquiring a Security Assessment and Authorization, negotiating with the 59 jurisdictions to obtain their participation, providing a data sharing tool that will allow for secure, encrypted submission and matching of person-level HIV surveillance data, and providing a report back to jurisdictions on matching levels.

The purpose of this NOFO is to support a more efficient method for HIV surveillance jurisdictions to identify potential interstate duplicates. The recipient will develop and provide a secure, encrypted, on-going privacy data-sharing tool capable of identifying potential duplicates across jurisdictions, implement necessary data security, confidentiality and privacy protections according to CDC standards, obtain participation agreements with 59 state and local health department HIV surveillance programs that will allow on demand submission and matching of person-level HIV surveillance data, and report back to jurisdictions on matching levels in formats that are importable into local/state HIV data systems.

Computational neuroscience provides a theoretical foundation and a rich set of technical approaches for understanding complex neurobiological systems, building on the theory, methods, and findings of computer science, neuroscience, and numerous other disciplines. Through the CRCNS program, the National Science Foundation (NSF), the National Institutes of Health (NIH), the German Federal Ministry of Education and Research (Bundesministerium für Bildung und Forschung, BMBF), the French National Research Agency (Agence Nationale de la Recherche, ANR), the United States-Israel Binational Science Foundation (BSF), and Japan's National Institute of Information and Communications Technology (NICT) support collaborative activities that will advance the understanding of nervous system structure and function, mechanisms underlying nervous system disorders, and computational strategies used by the nervous system.

The Fellowship Program expects to award two new Ph.D. Fellowships each year to students who are interested in careers related to the development and implementation of quantitative methods for assessing the economics of the conservation and management of living marine resources. Fellows will work on thesis problems of public interest and relevance to National Marine Fisheries Service (NMFS) under the guidance of NMFS mentors at participating NMFS Science Centers or Offices. The NMFS-Sea Grant Fellowship in Marine Resource Economics meets NOAA's Healthy Oceans goal of "Marine fisheries, habitats, biodiversity sustained with healthy and productive ecosystems." The expected annual award per Fellow will be $46,000 (Federal plus matching funds), which is funded jointly by NOAA Fisheries and Sea Grant.

The Client aims at establishing automatic and labor-saving inspection system of subsea facilities by introducing robots. Currently, underwater robots are navigated and controlled by transmitting signals, via cables, from the ships. This wire communication method limits operating area of robots and can be susceptible to troubles, such as cable tangling and destabilization of robotic performance by the influence of tidal currents. In addition, acoustic communication is utilized for detecting locations of robots, but its transmission speed and quality are not competent.   Optical wireless communication technology has potential for high-speed and high-capacity communication under the sea, therefore the Client expects it can improve underwater operation and control of robots dramatically. By building medium- to long-term partnership with organizations that possess these technologies, the Client aims to establish embeddable wireless communication technology between robots under the sea as their initial target.   Furthermore, establishment of communication technology capable of navigation signal transmission to underwater robots from an onshore / offshore base (i.e. from a ship) is their ultimate target.

The objectives of this Funding Opportunity Announcement are to solicit and competitively seek research applications to accelerate the development and application of technologies for enhancing the recovery of petroleum from both onshore conventional and unconventional reservoirs through the injection of chemical, miscible, or thermal fluids. It should be noted that applications for developing and testing technologies, methods and practices for enhancing oil recovery over and above current productions from unconventional reservoirs that do not involve the injection of enhanced oil recovery fluids (e.g. improving fracturing treatments, enhanced well completion design) are solicited in a separate Funding Opportunity Announcement, titled DE-FOA-0001990, Advanced Technologies for Recovery of Unconventional Oil and Gas Resources. The two Areas of Interest for this Funding Opportunity Announcement are Area of Interest 1 Enhanced Oil Recovery Technologies for Conventional Resources Area of Interest 2 Enhanced Oil Recovery Technologies for Unconventional Resources

The purpose of this funding opportunity announcement (FOA) is to support non-commercial lab-to-user dissemination of novel, reliable imaging and bioengineering technologies, including devices, software, methods, chemical agents, etc. Proposed technologies should have been prototyped, validated, and are potentially highly impactful to the research community. However, their beyond-the-lab dissemination via commercialization or industry partnership is not anticipated. Projects should focus on transforming functioning prototypes to usable tools and delivering them to end users for high-quality research in a reliable manner. Related activities may include, but are not limited to, quality control, scale-up production, user training, and technical improvements that are within the scope of the prototyped technology and limited to applying proven techniques or existing resources. Projects that involve clinical trials, commercialization, academic-industry partnership, or service using existing equipment are not responsive to this FOA.

NineSigma's client seeks a no-spill dispensing solution for consumer flexible pouches for a variety of viscous products similar to food purées and water. The product is dispensed by the consumer from ages 8 months and older. Product is dispensed when the consumer sucks from the flexible package, squeezes the package, or a combination of the two. First time young consumers (8 to 36 months), without any learned behavior, tend to grasp the flexible package causing the contents to spill unintentionally. Other accidents occur when the flexible format is dropped by accident and the contents spill. NineSigma's client seeks alternate methods to ensure controlled dispensing to avoid spills, and develop a dispensing solution that allows the pouch contents to evacuate upon sucking or by intentional and intuitive means.

The purpose of the R01 grant program is (1) to develop an understanding of the risks and conditions associated with occupational diseases and injuries, (2) to explore methods for reducing risks and preventing or minimizing exposure to hazardous conditions in the workplace, and (3) to translate significant scientific findings into prevention practices and products that will effectively reduce work-related illnesses and injuries. The Research Project Grant (R01) supports a discrete, specified, circumscribed project in scientific areas that represent the investigators’ specific interests and competencies and that fall within the mission of NIOSH. Applicants must concisely describe the occupational health burden addressed in their proposal and must link the need for the proposed research activities to planned outputs that will help alleviate this burden. Applicants should clearly articulate the anticipated impacts of the proposed research, both during the project period and beyond

NSWC Crane is interested in funding research to inform future science and technology investments via data mapping and information visualization techniques. Specifically, advancements beyond traditional scientometrics are desired for visualizing, understanding, and predicting naval research and development investments that yield transitioned technologies via methods that make sense of the dynamic collaborative network of academia, industry, and government partners.

NSWC Crane is interested in funding research to inform future science and technology investments via data mapping and information visualization techniques. Specifically, advancements beyond traditional scientometrics are desired for visualizing, understanding, and predicting naval research and development investments that yield transitioned technologies via methods that make sense of the dynamic collaborative network of academia, industry, and government partners.

The Office of Advanced Scientific Computing Research (ASCR) of the SC, U.S. Department of Energy (DOE), hereby invites applications for basic research that address fundamental challenges within DOE's mission areas of energy, environment and security, and from a perspective that requires new integrated efforts across multiple mathematical, statistical and computational disciplines. This solicitation is for new Mathematical Multifaceted Integrated Capability Centers (MMICCs) to enable greatly enhanced scientific discovery, design, optimization or decision-support capabilities for the increasingly complex systems, processes, and problems that arise in science and energy research. Proposed research tightly focused on the solution of a particular science or engineering problem are outside the scope of this solicitation.These MMICCs will enable applied mathematics researchers to work together in large, collaborative teams to develop the mathematics needed to address significant scientific computing research challenges. The MMICCs allow researchers to take a broader view of the problem as a whole, and devise solution strategies that attack the problem in its entirety by building fundamental, multidisciplinary mathematical capabilities and tools cognizant of both existing and emerging computing paradigms. The MMICCs teams will have the flexibility and technical expertise to consider all aspects of the problem-solving process simultaneously - ranging from the mathematical formulation to the development, analysis, integration of appropriate models and methods, and demonstration of results and capabilities.