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Field
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merged with clinical data. The individual in this position will recruit subjects from studies, obtaining informed consent from subjects and clinical samples. This position will collect and/or process these
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postdoctoral fellows in the art and science of drug discovery and educating the public on disease processes and therapeutic frontiers The Center employs nearly 100 faculty members, staff, volunteers, PhD
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learning models. Work with large-scale datasets, designing efficient data processing pipelines. Support the deployment and scaling of AI models for real-world applications. Contribute to open-source AI
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fellows in the art and science of drug discovery and educating the public on disease processes and therapeutic frontiers The Center employs nearly 100 faculty members, staff, volunteers, PhD students
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geometry manipulation with computer-aided design software. Experience with coupling CFD and FEA codes. Knowledge of multi-dimensional code development (in C++/C/Fortran) for two-phase/multiphase flow and
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well as the effects of electrical stimulation on neural signals and cognition. The successful candidate will work on multiple projects in parallel. The candidate will also supervise other researchers including
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CEBEX laboratory at LHO. In parallel, the chosen candidate will take a lead role in forging results of these investigations into a conceptual design, construction and installation plan, and parametric
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, communication, and the ability to prioritize work will be important. Mission Statement The Life Sciences Institute explores biological processes, structures and functions at the finest scale to create impact on
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computational biology, data mining, human-computer interaction and experience, machine learning, meta-heuristics, networking and mobile computing, parallel and high-performance computing, software engineering
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. Among the methods used are high-throughput CRISPR screening, protein deep mutational scanning, massively parallel reporter assays, and genetic manipulation of cell lines and mice. The successful candidate