198 parallel-and-distributed-computing-"Meta"-"Meta"-"Meta" Postdoctoral positions in Sweden
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programme Reference Number 304--1-14193 Is the Job related to staff position within a Research Infrastructure? No Offer Description This postdoctoral position focuses on securing large-scale distributed AI
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2025 - 12:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within
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Are you interested in crossing borders between geometry, numerics, and physics?The position at hand challenges you to work both as a mathematician and a physicist in the area of plasma physics and numerical simulation of models for magnetised fluids. About us This position sits right between two...
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. software and parallel computing is required. Skills in data processing and visualizing the results of quantum-chemical simulations are strongly desired. The candidates experienced in software
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28 Oct 2025 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Mathematics » Applied mathematics Mathematics » Geometry Physics » Computational physics Physics
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relevant) and needs to be passionate about research. Experience in usage Gaussian, ADF, Dalton, ORCA etc. software and parallel computing is required. Skills in data processing and visualizing the results
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27 Sep 2025 Job Information Organisation/Company Luleå University of Technology Research Field Computer science » Other Researcher Profile First Stage Researcher (R1) Country Sweden Application
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Job description This advertisement is
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. Both are part of the Department of Mathematics and Computer Science, which provides a vibrant, inspiring, collaborative, and highly international environment for your work. Due to the postdoctoral
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checks. Both parts are meant to support data-driven computational modeling for applications in epidemics. For a further description of the proposed project, see this document. The Department