71 computational-physics "https:" "https:" "https:" "https:" "Trinity College, Dublin" Postdoctoral research jobs at University of Minnesota
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with an expertise in dynamical systems, stochastic processes or network dynamics in the context of mathematical biology. Prior experience with mathematical/computational neuroscience and scientific
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. Analyze complex imaging data using quantitative and computational approaches. Collaborate with a multidisciplinary team of neuroscientists, optical engineers, and data scientists. Present research findings
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of human retrovirus (HIV & HTLV) particle assembly. Successful recruits will possess a terminal doctorate (ideally PhD degree) with strong experience in biomedical and/or physical sciences and will be
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collaborates with other fields such as chemistry, computer science, engineering, linguistics, mathematics, medicine and allied disciplines, philosophy, physics, and psychology. The Department of Neuroscience is
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closely related fields · Experience and proficiency with CLM and/or other distributed hydrologic models, and a strong computational and programming background · Ability to work
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researcher to join our multi-disciplinary team. The ideal candidate will have a strong background in the physical sciences and experience with the biophysical characterization of proteins and protein complexes
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of Science & Engineering. More information about the department can be found at https://cse.umn.edu/cege Pay and Benefits Fixed Pay Rate: $61,008 Please visit the Benefits for Postdoctoral Candidates website
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, computer science, engineering, linguistics, mathematics, medicine and allied disciplines, philosophy, physics, and psychology. The Department of Neuroscience is committed to providing excellence in research
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flexible spending accounts University HSA contributions Disability and life insurance Employee wellbeing program Financial counseling services Employee Assistance Program with eight sessions of counseling
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for soft materials, with particular emphasis on thermo–visco–hyperelastic behavior, integrating continuum mechanics, scientific machine learning (SciML), and computational physics. The project aims