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collaboration with experimental labs Profile Common requirements: PhD (completed or close to completion) in computer science, applied mathematics, computational neuroscience, robotics, physics or a closely
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fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in mechanical engineering, computer science, or a related field completed within
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, qualification, and deployment of AI agents and models, Computational Fluid Dynamics (CFD) simulation codes, and Finite Element Method (FEM) based tools for nuclear energy (fission and fusion) applications
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, contributing to research proposals, and supporting the development of externally funded, multi-institutional projects. Required Minimum Qualifications: Ph.D. in Mechanical Engineering, Computer Engineering
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at the Large Hadron Collider (LHC). The successful candidate will contribute to a broad research program that includes physics analysis, detector performance studies, experiment operations, and upgrade
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through peer-reviewed publications and presentations at scientific conferences Department/Program & College Description: The Roy J. Carver Department of Biochemistry, Biophysics, and Molecular Biology seeks
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, computer science or a related area. You should have expertise in combinatorial optimization and graph theory as well as good programming skills. A further requirement is the ability to perform research independently
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25 Jul 2026 Job Information Organisation/Company Scuola Superiore Sant'Anna di Pisa Research Field Engineering Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage
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Carrasquillo Lab, National Center for Complementary and Integrative Health, National Institutes of Health | Bethesda, Maryland | United States | about 1 month ago
Integrative Health, National Institutes of Health We are seeking highly motivated postdoctoral fellows with expertise in single-cell transcriptomics, spatial transcriptomics, computational biology
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, Computational Biology, or a related scientific discipline, or expected completion before the start date. Demonstrated research productivity through first-author publications, submitted manuscripts, or comparable