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and Applied Sciences Department/Area Electrical Engineering/Computer Engineering/Computer Science Position Description Project Deep learning plays an essential role in the operation of an autonomous
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a week individual and one hour a week group supervision toward licensure Maintain clinical records in compliance with State and Federal regulatory agency requirements and program policies and
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of Engineering and Applied Sciences. The fellow will design and run human experiments, perform data analysis, and create computational models of learning and memory. A PhD is required. An ideal candidate will be
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systems. Develop, apply and refine advanced models for optical and laser system performance. Collect and analyze experimental data, draw conclusions and publish findings in high-quality peer-reviewed
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high performance computing clusters · Development of reproducible analysis pipelines · Strong time management and organizational skills · Ability to work effectively as a team · Excellent written and
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of approximately 1.7 million square feet and high-performance computing facilities at the DOD Supercomputing Research Center. This opportunity has multiple projects based out of the ERDC Field Research Facility in
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, covering areas such as LLMs, generative AI models, computational biology, and the analysis of high-dimensional neural and behavioral data. The Fellowship is intended for early-stage scientists and will
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data science, artificial intelligence, large language models, and high-performance computing. Strong written and verbal communication skills regarding research results. Preferred Qualifications
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experience supervising professional staff, managing budgets, and building high-performing, collaborative teams. Program design and facilitation skills, with the ability to plan, implement, and evaluate
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skills: · Experience with Python · Experience with high performance computing clusters · Development of reproducible analysis pipelines · Strong time management and organizational skills · Ability to work