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candidate will contribute to cutting-edge research in optimal control theory, differential game theory, mean-field game theory, and mean-field-type game theory, developing advanced mathematical frameworks and
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. The successful candidate will be responsible for (i) developing and optimizing fabrication processes, (ii) guiding and advising users throughout their fabrication projects, and (iii) ensuring compliance with and
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facility. The successful candidate will be responsible for developing and optimizing thin-film deposition processes, as well as providing user training and technical support for the operation and maintenance
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, computational mathematics, and optimization and operations research. More information about the Department can be found at https://hkumath.hku.hk/web/index.php . Position Description The Department seeks a
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 3 months ago
Energy, Transport and Aerospace, funded by the Foundation for Science and Technology (FCT). It focuses on Scientific Artificial Intelligence, optimization, and computational modeling in engineering, aiming
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; design and optimize synthetic strategies for complex peptides, peptide libraries, and small proteins; develop scalable production methods using solid-phase peptide synthesis and native chemical ligation
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-Time / 40 hours per week Rotating/Variable Shifts POSITION HIGHLIGHTS Lead staff pharmacists and others in aligning medication policy and optimizing medication use across UW Medicine. Track and report
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consistent with the topics of the Scientific Disciplinary Sector (S.S.D.) in the field of Operations Research. A strong scientific background in numerical optimization is required, including non-smooth and non
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: *Optimal Particle identification of Single Site with Underground MKIDs Detectors; funded by the ERC project ERC OPOSSUM *Development of an Experimental Microsatellite Platform for Extended In-Situ Space
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education or similar complex organizational environments preferred. Other necessary skills: LLM Expertise: Deep understanding of large language model capabilities, limitations, and optimal interaction