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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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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