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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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Learning, Optimization, Scientific Computing, Statistical Data Analysis, and Topological Data Analysis. In conjunction with these research activities, the CMSE department boasts a strong PhD program and a
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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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, Material Science Engineering, or related fields. Minimum Requirements Experience in the process design and optimization of lignocellulose fractionation and the products (cellulose, hemicellulose, sugars
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deployment experience (AWS/Azure/GCP) and/or edge optimization Background in speech accessibility, fairness in ML, or assistive technologies Knowledge of speech differences (stuttering, dysarthria, accents
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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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audiences, drive brand awareness, and meet fundraising goals. The work involves idea generation, content creation, editing and basic graphic design. The role also assists with SEO optimization
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for risk prediction and treatment optimization, AI for image reconstruction, segmentation, and disease detection; application of machine learning and computational methods toward biomaterial, drug, or
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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