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Field
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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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Organization U.S. Department of Defense (DOD) Reference Code USAFSAM-2025-0004-F How to Apply Click on Apply at the bottom of the opportunity to start your application. Description The U.S. Air Force School of Aerospace Medicine is offering a faculty research fellowship at the University of...
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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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. The successful candidate will work directly with the CMAI faculty. Broadly, the group’s activities lie at the interface of optimization and nonsmooth/nonconvex analysis, PDE-constrained optimization and optimal
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do: Design, fabricate, characterize, and optimize electrochemical biosensing technologies for real-time detection. Develop and implement novel surface chemistries to improve sensor performance
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. Candidates will perform research on agentic AI, foundational modeling, optimization, and control of multiagent autonomous systems with an application in renewable energy and power grids, in addition to working
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techniques to investigate off-flavor compounds in water and food systems. With mentor guidance, they will develop optimized sample preparation workflows and instrumental quantification methods to enhance
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fellow with a Ph.D. in electrical engineering, applied mathematics, or related field. Candidates will perform research on agentic AI, foundational modeling, optimization, and control of multiagent
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Optimization, Operations Research, Probabilistic Graph Theory, Percolation) – Advised by Dr. Elvan Ceyhan Geometric Analysis, Variational Problems, Harmonic Maps, Minimal Surfaces, and Singular Spaces – Advised
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expected to execute across all aspects of medicinal chemistry. The candidate will be responsible for designing, synthesizing, and optimizing molecules targeting GPCRs (cannabinoid receptors; allosteric and