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/Optimization research group within the Department of Mathematics. The successful candidate is expected to establish a research and teaching focus in optimization. The Department is looking for a candidate with
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of generative AI tools and AI tools to optimize research workflows Ability to work independently and scientifically; flexibility and willingness to work in an interdisciplinary environment; high level of
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Independent research and publication activities in the field of mathematical optimization with focus on nonsmooth optimization, stochastic optimization, or optimal control of partial differential equations
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providing comprehensive assistance with advanced technologies, and an optimized laboratory infrastructure that facilitates safe, efficient, and innovative research. At ISTA's Chemistry Support Facility
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experienced chemists, the CSF’s mission is to enable world-class research by providing comprehensive assistance with advanced technologies, and an optimized laboratory infrastructure that facilitates safe
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and optimize lymphoid organoid systems derived from iPSCs and primary human CD34+ cells Perform CRISPR screens targeting genes implicated in lymphocyte development Generate and characterize lymphocyte
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of employment: 3 Years Hours of employment per week: 40h Responsibilities: Development, characterization, and optimization of polymer recyclates from post-consumer recycling (PCR) and end-of-life vehicles (ELV
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connection with uncertainty or data science. Specific fields of interest include, but are not limited to, stochastic partial differential equations, optimal transport, gradient flows, uncertainty
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-efficient and uncertainty-aware modeling, enhanced sampling, and statistical thermodynamics. Research will address property prediction and optimization as well as applications to chemical reactions
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limited to, stochastic partial differential equations, optimal transport, gradient flows, uncertainty quantification, model order reduction, data assimilation, optimal control, and their applications