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motivated to move the area of enzyme engineering to the next level, while having a positive impact on our world. When joining our team, you get the opportunity to use the latest algorithms in machine learning
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system for simulating climate change scenarios, and (ii) 150 m² of growth chambers and speed breeding platform to accelerate the genetic gain and germplasm development. Job description: We are seeking a
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possible for up to 1 day/week. You will join an interdisciplinary team of researchers spanning imaging science, machine learning, genetics, and population health, working closely with collaborators
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, genetics, and population health, working closely with collaborators at the Nuffield Department of Population Health (NDPH), the Big Data Institute (BDI), and the Department of Psychiatry. You will develop
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approaches, such as topology optimization, with gradient-free methods, such as genetic algorithm, in order to exploit the specific strengths of the two classes of algorithms, and through this reach an ideal
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-solving person with a strong background in bioinformatics and previous experience with next-generation sequencing (NGS), ideally in cancer genetics. In particular, familiarity with the analysis of whole
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verification algorithms and prototypes on large microgrids, Naval systems, and utility systems. ● Assist grant proposal writing, work collaboratively with industry and government, and mentor graduate
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structure-preserving discretization algorithms (a refinement of finite-element analysis compatible with exact geometric, topological, and physical constraints) with artificial neural networks for achieving
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is to implement algorithms, models, and software applications that can be translated to clinical use. Job Description Primary Duties & Responsibilities: Information on being a postdoc at WashU in St
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implement algorithms, models, and software applications that can be translated to clinical use. Job Description Primary Duties & Responsibilities: Information on being a postdoc at WashU in St. Louis can be