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necessary to make closely related decisions while ensuring that complex constraints are met and optimizing the often-conflicting criteria of different stakeholders. The objective of this research is to design
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incremental optimization. We seek researchers to develop next-generation machine learning methods that fundamentally rethink how large-scale AI systems are trained, fine-tuned, and deployed. Our focus is on
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operationally positioned to deliver high-value transformation outcomes across UCSF. The role partners closely with the Assistant Vice Chancellor and EST leadership to drive disciplined planning, optimize resource
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about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html Department Description The Interpreting and
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methodology. The position will begin Fall of 2026. Dr. Henry’s lab focuses on developing new approaches for the analysis of intensive longitudinal data, as well as methods for optimally applying psychological
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of results. Operate and optimize automated sample preparation workflows, including liquid-handling robotics (method setup, optimization, validation, and QC). Drive untargeted data processing workflows (feature
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community, and as part of the Office of the Provost, the Division for Enrollment Management optimizes student recruitment and retention by developing and implementing strategic enrollment plans, overseeing
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scientific background and interests. This guarantees an optimal level of preparation for a high-profile career in research or industry. Course organisation In addition to the regular courses which are part of
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and secondary resources. The group closely collaborates with other research groups at the Center for Sustainable Resources (CSR|Berlin, https://www.csrberlin.de ) at Freie Universität Berlin and beyond
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communication skills in English, 4. Programming skills are desirable (Julia, Python, convex optimization and semidefinite programming). Task description: The project focuses on analytic and geometric properties