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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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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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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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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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Position Summary The successful candidate will work with Dr. Kunlun Qi < https://kunlun-qi.github.io > on research projects related to kinetic equation and its related multiscale model reduction
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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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year, with the possibility of renewal for more years, subject to the performance and the availability of funding. The successful candidate will work with Dr. Kunlun Qi < https://kunlun-qi.github.io
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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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Working/Functional Title Clinical Application Analyst II Position Summary The Clinical IT team is responsible for the optimization and ongoing support of the Electronic Health Record (EHR