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between the University of Plymouth and Cornwall Partnership NHS Foundation Trust, starting in May 2026. About the role The purpose of the role is to develop and apply mathematical models and computational
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of researchers who have transitioned or are transitioning from training environments in the physical/mathematical/computational sciences or engineering into postdoctoral work in the biological sciences, and who
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) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission of teaching and
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findings at scientific conferences. Position Requirements Ph.D. completed within the past 5 years, or soon to be completed, in physics, materials science, chemistry, computer science, applied mathematics
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energy, atomic, pulsar and biophysics; theoretical cosmology, condensed matter, mathematical, and particle physics. Candidates for the position should have a Doctorate degree in Physics or a related
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Max Planck Institute for Solar System Research, Göttingen | Gottingen, Niedersachsen | Germany | 18 days ago
numerical results with available observational and experimental evidence in geophysical and astrophysical contexts. Your qualification PhD in fluid dynamics, physics, applied mathematics, geophysics
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Holon Institute of Technology, Mathematical Physics Group Position ID: Holon Institute of Technology-Mathematical Physics Group-PDRMT2026 [#31368, PDRMT2026] Position Title: Position Type
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 16 hours ago
Development Plan process designed to support long-term career advancement. Minimum Education and Experience Requirements A PhD in mathematics or closely related field. Required Qualifications, Competencies, and
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Germany | 28 days ago
or almost completed) in Physics, Applied Mathematics, Complex System or a related field. Strong background in mathematical modeling, machine learning, or biophysical simulations. Demonstrated interest in
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) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission of teaching and