102 software-engineering-model-driven-engineering-phd-position Fellowship positions at Zintellect
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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
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computing pipelines and package models and analytical methods as documented, reusable research software and community resources. You will be encouraged to participate in SCINet and AI Center of Excellence
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modeling and engineering analysis. Scientific programming and quantitative analysis of engineering data. Application of remote sensing technologies to agricultural engineering research. Scientific
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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
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) unit seeks a post-doctoral fellow in food science, microbiology, engineering or related disciplines to assist in the development of value-added ingredients from agro-industrial crops and their by
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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
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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
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, 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
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Institute of Technology is offering a graduate research fellowship in aeronautical engineering at Wright Patterson Air Force Base, Ohio. What will I be doing? As an Oak Ridge Institute for Science and
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managing diabetes using computer simulation models. Learning Objectives: You will learn: How to synthesize and translate empirical evidence on cost-effectiveness of interventions for the prevention and