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repository, and to utilize software development across the Agency. This opportunity will mostly be conducted in a Unix environment and on high-performance computing equipment. Learning Objectives: Under
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environments, including heat, cold, high-altitude, and subterranean. You will be using specialized software tools, such as COMSOL, to run and analyze different scenarios and develop guidance, design, and
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, and marker development. Experiences to analyze high through put data sets including short- and long-read genomic and transcriptomic data, and develop or apply related software for data mining. Familiar
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thresholds to mitigate overexposure risks. Software Capability Development: Translating theoretical bio-effects and exposure criteria into functional MATLAB algorithms to evaluate weapon system blast
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statistics and proficiency in coding software such as SAS, Stata, R, or SPSS; qualitative skills is a plus but not required. Strong oral and written communication skills for various audiences is strongly
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to develop, host, and maintain public-facing custom data solutions such as web-based applications, digital research tools, and software that support the ARS core mission. PDI is the only in-house public-facing
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software) to visualize protein-protein interactions and guide bench-level assay design. Exposure to small-molecule library screening and or DNA-Encoded Libraries (DEL). Application Requirements A complete
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Experience or interest in artificial intelligence (AI), machine learning, or AI-assisted workflow automation Experience with software testing, beta testing, user acceptance testing, or information system
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, tested, and refined. The experience includes opportunities to learn about CFD/FSI techniques, open-source scientific software development, interface design for technical tools, and strategies for creating
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reporting lab activities Strong written and verbal communication skills and organizational skills Proficient use of different computer programs (Microsoft Office and lab analysis software) Strong