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Details Title Postdoctoral Fellow in Riemannian Optimization School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Position Description A postdoctoral position is
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. Research areas include Representation Learning, Machine learning and Optimization on graphs and manifolds, as well as applications of geometric methods in the Sciences. This is a one-year position with
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optimization. The role offers an excellent opportunity to work alongside interdisciplinary teams and industry partners, and to contribute to real-world impact in the growing field of electric mobility
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interaction for optimal diagnostic interpretation is stressed. The program historically has had a well-defined core of responsibilities outlined for the fellow and has also allowed considerable flexibility
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of innovative hardware solutions, including harmonic mitigation and thermal optimization. The role offers an excellent opportunity to work alongside interdisciplinary teams and industry partners, and to
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members on IntelliCage operations. Lead behavioral studies using IntelliCage to assess functional outcomes. Establish and optimize injury paradigms (e.g., TBI, CRCI) and therapeutic timelines. Collaborate
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Apply Now Job Summary In this position, the candidates will learn strategies and techniques for LC-MS analysis, drug optimization and lead drug candidate selection, pharmacokinetics and drug
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, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals. Design and optimize new CAR constructs and delivery systems Conduct in vitro assays to evaluate
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developmental challenges faced by children, families, and our aging population and to promote optimal development and opportunities for all. Postdoctoral fellows have the chance to participate in research
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of Missouri campus. Research at this facility involves optimizing agricultural production systems for improved sustainability by developing tools for assessment of soil health, among other objectives. Research