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Field
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Requisition Id 17180 Overview: We are seeking a Computational Physicist to carry out modeling of plasma transport and plasma-material interactions (PMI) in the Materials Plasma Exposure eXperiment
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development of open-source, machine learning–based software for inferring evolutionary history from genomic data. Design and run population genetic simulations to generate training data and validate theoretical
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simulations and observations for guidance, build a quantitative conceptual understanding of the critical factors controlling cumulus life cycles Develop and critically evaluate new physical model(s) for cumulus
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30 Sep 2026 Job Information Organisation/Company Högskolan i Skövde Research Field Computer science Researcher Profile Recognised Researcher (R2) Application Deadline 20 Oct 2026 - 12:00 (UTC
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to their imperfect representation of ocean and sea ice interactions at sub-grid scales. This project aims to improve our physical understanding of these fine-scale processes, including the melting and breakage of sea
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19 Sep 2026 Job Information Organisation/Company CNRS Department Propagation des Ondes : Etude Mathématique et Simulation Research Field Engineering Physics » Acoustics Engineering » Materials
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theoretical aspects of wave propagation and complex systems. Experience with optical experiments, numerical simulations, or computational modeling. Programming and simulation skills in MATLAB, Python, COMSOL
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close to completion) in a relevant area of astrophysics or physics, and should have experience in Type Ia supernova cosmology (supernova modelling, simulations, data analysis and statistical methods) and/or
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physics and magnetic-confinement fusion. Demonstrated research experience in computational physics, numerical simulation, or scientific computing, with a track record of publication in peer-reviewed
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 18 hours ago
expanding the boundaries of knowledge in the many subfields spanning length scales between. Forefront physics and astronomy research requires access to well-equipped laboratories and extensive computing