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Optimal Transport for Optimization and Machine Learning Appl Deadline: 2026/02/04 11:59PM (posted 2025/12/19, listed until 2026/02/04) Position Description: Apply Position Description Doctoral student in
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, networking, LinkedIn optimization, cover letter writing, mock interviews, and internship search strategies. The CDS will meet with students individually, lead professional development workshops, conduct
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opportunities: https://go.fzj.de/LeadershipCulture In a large research institution like ours, science and administration work hand in hand. Our leadership model ( https://go.fzj.de/leadershipmodel ) provides
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of electric drives; optimization of mechanical devices; 3D printing and rapid prototyping technologies; ergonomics and its application in machine/device design LanguagesENGLISHLevelExcellent
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Experience developing optimized modules in C#/C++ within Unity and/or Unreal Engine Experience with database management systems Where to apply Website https://www.timeshighereducation.com/unijobs/listing
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): https://go.fzj.de/JuDocs SUCCESSFUL START: It is important to us that you quickly settle into the team and are given structured training for your tasks. We also support you from the very beginning and
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: theory of machines and mechanisms; construction and use of electric drives; optimization of mechanical devices; 3D printing and rapid prototyping technologies; ergonomics and its application in machine
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 1 day ago
development of methods for chiral analysis of amino acids using CE-MS, and optimization of limits of detection. This initial research will utilize a newly installed SCIEX CESI 8000 capillary electrophoresis
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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian You will be part of a dynamic research team working on topics relevant
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University of Texas Health Science Center San Antonio | San Antonio, Texas | United States | 2 days ago
for the Texas Poison Center Network. Optimal candidates will have an established track record of peer-reviewed research, excellence in education, and commitment to clinical service. Toxicology faculty will