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-oriented problems involving optimization, artificial intelligence, workflow redesign, and stochastic assembly line balancing. The position will involve close collaboration with industry partners
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drug discovery (e.g. generative models, PK models, lead optimization). Description of work/duties: Working in a team-based environment to solve scientific problems Active collaboration with
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scientist. The scholar will design and synthesize novel small molecules while receiving hands-on training in SAR/lead optimization, high-throughput screening, in vitro ADME/drug metabolism
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areas, including battery modeling and control, power electronics, optimization, electrochemical energy storage, or related fields. Excellent record of scholarly accomplishments including publications and
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with strengths in computational biology, bioinformatics, machine learning, optimization, scientific computing, statistical data analysis, and topological data analysis. CMSE offers undergraduate
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. The department has an active research community with strengths in computational biology, bioinformatics, machine learning, optimization, scientific computing, statistical data analysis, and topological
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spectrometry–based metabolomics across multiple platforms, with particular emphasis on SCIEX ZenoTOF systems, including routine maintenance, development and optimization of acquisition methods Apply and
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Assist in the design, execution, and optimization of experiments using human tissue samples and in vitro model systems Maintain accurate and detailed experimental records in accordance with institutional