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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | about 6 hours ago
research team. The ideal candidate should have: A PhD/DPhil degree (or comparable) with a background in theoretical physics, applied mathematics or related disciplines from a recognized university; Prior
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, applied mathematics. - A strong background in theoretical mechanics and applied mathematics, with an expertise in artificial intelligence. Expertise in design, social sciences or humanities are a plus; - A
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Brown University, Division of Applied Mathematics Position ID: BrownAPMA -PAP [#26844] Position Title: Position Type: Non tenure-track faculty Position Location: Providence, Rhode Island 02906
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the NIH Center to iteratively refine learned models. Qualifications: • Ph.D. in applied mathematics, computational science, statistics, machine learning, or related quantitative field. • Proficiency with
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room for flexibility in both directions. We are seeking a highly motivated individual with a PhD in computer science, computational chemistry / biochemistry, applied mathematics, or a related area. The
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Internal Number: 5523587 Postdoctoral Research Associate - Biophysics and Soft Matter Theory About the Opportunity SUMMARY The research group of Dapeng 'Max' Bi at Northeastern University in Boston, MA, USA
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or Planetary Science, Applied Mathematics, Physics, or a closely related field, completed by the start of the appointment. You should have strong scientific programming skills (Julia, Python, Fortran or C++) and
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rolling basis. The position will remain open until filled. Basic Qualifications A Ph.D. in Mathematics, Applied Mathematics, Computer Science, or a related field, by the start of the appointment. Additional
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with strong analytical and numerical skills, and backgrounds in physics, theoretical neuroscience, applied mathematics, computer science, engineering, or related fields. Experience in relevant research
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must have obtained a Ph.D. in mathematics/applied mathematics or a closely related field prior to the start date and must demonstrate research excellence, strong oral and written communication skills