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University of California, San Francisco | San Francisco, California | United States | about 2 months ago
the collective bargaining agreement. The salary range for this position is $72,000 - $154,600 (Annual Rate). To learn more about the benefits of working at UCSF, including total compensation, please visit: https
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challenging. The objective of this PhD is to develop a predictive modeling framework that explicitly links multiscale physical mechanisms to macroscopic responses. The work will follow a multiscale and
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and place-based linkage. ● Experience working with large, complex datasets that may require novel data structures, indexing strategies, or parallelized workflows. ● Ability to work independently with
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Institute PhD Research Project Directly Funded UK Students Prof David Fletcher, Prof Paul Richmond, Prof Roger Lewis Application Deadline: 14 May 2026 Details This project is part of cohort 3 of the EPSRC
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under a single or otherwise limited set of discrete tuning parameters. In parallel, the candidate will gain in-depth knowledge of time-modulated photonic media, nonlinear optics, adjoint-based
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system-level performance metrics (efficiency, bandwidth, angular response, and robustness). In parallel, the candidate will gain in-depth knowledge of analytical modeling techniques and adjoint-based
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conducted on surface sediments recovered from the study area by the CONRAD expedition and currently stored at Lamont Doherty (USA). The PhD candidate will participate in the first planned cruise; in
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HAAND: Hand Assessment in ALS using a Novel wearable Device School of Clinical Dentistry PhD Research Project Directly Funded UK Students Dr Thomas Paterson, Dr James Alix Application Deadline: 09
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vibration isolation). In parallel to the benefits of quantum computing, artificial intelligence and neuromorphic computing seek to emulate the massively parallel, highly efficient computing capacity
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parameters. In parallel, the candidate will gain in-depth knowledge of time-modulated photonic media, nonlinear optics, adjoint-based optimization strategies for high-dimensional inverse design, and realistic