179 model-driven-engineering-"Data-driven-Materials-Modeling" positions at Zintellect
Sort by
Refine Your Search
-
technology. What will I be doing and why should I apply? DTRA-West offers a distinctly unique experience for research-based experiences, professional development, and future career opportunities for selected
-
application of foundation models for fungal DNA and protein sequences. With ARS and external AI knowledge-holders, you will adapt long-context DNA language models to fungal genomes. These DNA-language models
-
of unknown PFAS, supporting agricultural research and advancing the ARS mission. The project will involve compiling high-resolution mass spectrometry (HRMS) databases for PFAS, creating machine learning models
-
The United States Army Research Institute of Environmental Medicine (USARIEM) is offering a post-bachelor's-level fellowship in biomedical/mathematical modeling of humans exposed to extreme and austere environments
-
, presentations, and stakeholder-focused decision-support tools. Learn how modeling and data-driven research can support regenerative agricultural practices, soil health, and natural resource conservation. Mentor(s
-
join a community of scientists and researchers in an effort to research modeling approaches related to neural stimulation and inhibition by laser exposure. Research will primarily focus on
-
multidisciplinary teams including biomechanical engineers, health physicists, and toxicologists to refine modeling assumptions, improve validation methods, and advance scientific research objectives. Preparing
-
of tropical fruit, vegetable and ornamental crops grown in the Pacific Basin.. During this fellowship you will engage with research to extend existing computer models of surveillance traps for invasive insects
-
, Agricultural Engineering, Hydrology, or related field). Degree must have been received within the past five years, or anticipated to be received by December 31, 2026. Preferred Skills: Modeling experience
-
Institute for Science and Education (ORISE) participant, you will join a community of scientists and researchers in an effort to explore the use of Large Language Models (LLMs) to enhance medical decision