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, transcriptomic, and proteomic datasets using open‑source bioinformatics software. The successful candidate will apply bioinformatics algorithms and statistical methods to interpret, analyze, and visualize large
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). Demonstrated experience conceiving and executing collaborative, multi-disciplinary research projects. Leadership experience managing, mentoring, and collaborating with engineers/scientists. Strategic development
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field testing and performance analysis Interface with sensors and develop algorithms to process and analyze dynamic data Work directly with industry sponsors to define requirements, scope, and project
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, training models, performance models and algorithms. • Applies engineering and computer science principles to design and develop robotic systems. • Develops and coordinates communications, presentations, etc