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numerical simulation of models for magnetised fluids. About us This position sits right between two research groups at Chalmers: the Plasma Theory group at the Department of Physics and the Geometry and
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physicist in the area of plasma physics and numerical simulation of models for magnetised fluids. About us This position sits right between two research groups at Chalmers: the Plasma Theory group
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theories, supported by competent and friendly colleagues in an international environment? Are you looking for an employer that invests in sustainable employeeship and offers safe, favourable working
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, with the University of Gothenburg as the employer. The project is about the study of dependent type theory extended with univalence with applications to synthetic mathematics. Prime examples
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3 Oct 2025 Job Information Organisation/Company Umeå universitet stipendiemodul Department Faculty of Science and Technology, Department of Mathematics and Mathematical Statistics Research Field Mathematics Researcher Profile Recognised Researcher (R2) Country Sweden Application Deadline 5 Nov...
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specialisation to infinite group theory) at Lund University is a 3-year research position, with the possibility of some teaching. The application deadline is the 29th of September 2025. The preferred start date
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: Arithmetic Geometry and Representation Theory Appl Deadline: 2025/04/25 11:59PM (posted 2025/04/04, listed until 2025/10/04) Position Description: Apply *** the listing date or deadline for this position has
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-energy nuclear theory (arXiv category: nucl-th). Organizationally we are part of the division of Subatomic, High-Energy and Plasma Physics within the Department of Physics. We have a strong international
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, https://liu.se/en Theoretical Physics Division, https://liu.se/en/organisation/liu/ifm/teofy Theory of disordered materials unit, https://liu.se/en/research/theory-of-disordered-materials The employment
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analysis in medicine. Experience of software version control with Git, typesetting with LaTeX, use of Linux computers; Experience with graph-based methods, and graph convolutional/neural networks; Experience