Opportunities
Search

The Division of Integrative Organismal Systems (IOS) Core Programs Track supports research to understand why organisms are structured the way they are and function as they do. Proposals are welcomed in all of the core scientific program areas supported by the Division of Integrative Organismal Systems (IOS). Areas of inquiry include, but are not limited to, developmental biology and the evolution of developmental processes, development, structure, modification, function, and evolution of the nervous system, biomechanics and functional morphology, physiological processes, symbioses and microbial interactions, interactions of organisms with biotic and abiotic environments,plant and animal genomics, and animal behavior. Proposals should focus on organisms as a fundamental unit of biological organization. Principal Investigators are encouraged to apply systems approaches that will lead to conceptual and theoretical insights and predictions about emergent organismal properties. The IntBIOTrackinvites submission of collaborative proposals totackle bold questions in biology thatrequire an integrated approach to make substantive progress. Integrative biological research spans subdisciplines and incorporates cutting-edge methods, tools, and concepts from each to produce groundbreaking biological discovery that is synergistic, such that the whole is greater than the sum of the parts. The research should produce a novel, holistic understanding of how biological systems function and interact across different scales of organization, e.g., from molecules to cells, tissues to organisms, s...

The Division of Environmental Biology (DEB) Coresupports research and training on evolutionary and ecological processes acting at the level of populations, species, communities, ecosystems, macrosystems, and biogeographic extents. DEB encourages research that elucidates fundamental principles that identify and explain the unity and diversity of life and its interactions with the environment over space and time. Research may incorporate field, laboratory, or collection-based approaches; observational or manipulative studies; synthesis activities; phylogenetic discovery projects; or theoretical approaches involving analytical, statistical, or computational modeling. Proposals should be submitted to the core clusters (Ecosystem Science, Evolutionary Processes, Population and Community Ecology, and Systematics and Biodiversity Science). DEB also encourages interdisciplinary proposals that cross conceptual boundaries and integrate over levels of biological organization or across multiple spatial and temporal scales.Research addressing ecology and ecosystem science in the marine biome should be directed to the Biological Oceanography Program in the Division of Ocean Sciences; research addressing evolution and systematics in the marine biome should be directed to the Evolutionary Processes or Systematics and Biodiversity Science programs in DEB.

MCB supports research that promises to uncover the fundamental properties of living systems across atomic, molecular, subcellular, and cellular scales. The program gives high priority to projects that advance mechanistic understanding of the structure, function, and evolution of molecular, subcellular, and cellular systems, especially research that aims at quantitative and predictive knowledge of complex behavior and emergent properties. MCB encourages research exploring new concepts in molecular and cellular biology, while incorporating insights and approaches from other scientific disciplines, such as chemistry, computer science, engineering, mathematics, and physics, to illuminate principles that govern life at the molecular and cellular level. MCB also encourages research that exploits experimental and theoretical approaches and utilizes a diverse spectrum of model and non-model animals, plants, and microbes across the tree of life. Proposals that pursue potentially transformative ideas are welcome, even if these entail higher risk. This solicitation calls for proposals in research areas supported by the four MCB core clusters, including: (i) structure, dynamics, and function of biomolecules and supramolecular assemblies, especially under physiological conditions (Molecular Biophysics); (ii) organization, processing, expression, regulation, and evolution of genetic and epigenetic information (Genetic Mechanisms); (iii) cellular structure, properties, and function across broad spatiotemporal scales (Cellular Dynamics and Function); and (iv) systems and/or synthetic biolo...

Summary is not available yet.

This announcement seeks revolutionary research ideas, and technology demonstrators that offer potential for advancement and improvement of NSWC Crane’s primary mission areas.NSWC Crane is a field activity of the Naval Sea Systems Command. NSWC Crane supports a wide range of government agencies in the interest of national security. NSWC Crane may publish BAAs and other solicitations in response to specific needs. This BAA is issued to seek innovative solutions and ideas for topics not covered via other means. It is strongly encouraged that potential proposers review existing NSWC Crane solicitations to avoid duplication of effort and to contact the identified points of contact for each BAA topic to discuss specific details of the needs.The mission of NSWC Crane is to provide research, development, test and evaluation, acquisition engineering, in-service engineering and technical support in its assigned technical capabilities for the United States Navy, Department of Defense components and agencies, and other federal agencies and components engaged in national security. NSWC Crane also works to apply component and system-level product and industrial engineering to surface sensors, strategic systems, special warfare devices and electronic warfare systems, as well as to execute other responsibilities as assigned by the Commander, Naval Surface Warfare Center.The focus of NSWC Crane is “Harnessing the Power of Technology for the Warfighter.” Crane specializes in total lifecycle support in three broad focus areas: Expeditionary Warfare, Strategic Missions, and Electronic Warfare,...

Summary is not available yet.

Summary is not available yet.

Summary is not available yet.

Summary is not available yet.

Summary is not available yet.

Summary is not available yet.

Summary is not available yet.

Summary is not available yet.

Summary is not available yet.

Summary is not available yet.

Summary is not available yet.

Summary is not available yet.

Summary is not available yet.

Summary is not available yet.

Summary is not available yet.

Summary is not available yet.

Large-scale simulations and the ability to accumulate massive amounts of data have revolutionized science and engineering. The goal of the Computational and Data-enabled Science and Engineering (CDS&E) meta-program is to identify and capitalize on opportunities for major scientific and engineering breakthroughs through new computational and data-analysis approaches and best practices. The CDS&E meta-program supports projects that harness computation and data to advance knowledge and accelerate discovery above and beyond the goals of the participating individual programs. The intellectual drivers may be in an individual discipline or cut across more than one discipline in various Divisions and Directorates. A CDS&E proposal should enable and/or utilize the development and adaptation of advances in research and infrastructure in computational and data science. The CDS&E meta-program encourages research that pushes the envelope of science and engineering through computation and data, welcoming proposals in any research area supported by the participating divisions. A proposal may address topics that develop or enable interactions among theory, computing, experiment, and observation to achieve progress on hitherto intractable science and engineering problems. Areas of emphasis for CDS&E vary by program. PIs are advised to consult the "related programs" links below before submitting. The CDS&E meta-program is not intended to replace existing programs that support projects involving computation or the analysis of large or complex data sets using established methods. Rather, propo...

Summary is not available yet.

Summary is not available yet.

Summary is not available yet.