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experience in perturbative large-scale structure modeling (LSS), in particular biased dark matter tracers, in simulated dataset analysis, as well as strong programming skills in Python and C. Familiarity with
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computational science expertise. The Computational Science (CPS) Division focuses on solving the most challenging scientific problems through advanced modeling and simulation on the most capable computers
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The Copenhagen Center for Social Data Science (SODAS), Faculty of Social Sciences, University of Copenhagen (UCPH), invites candidates for a postdoctoral position in modeling and simulation
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modeling and simulation to complement physical experiments. (Preferred) Proficiency in CAD and modeling tools such as SolidWorks for experimental design and apparatus development. And possess at least three
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simulations. Data-driven materials discovery: ML models for property prediction, materials design, or synthesis optimization. AI/ML methods development: Neural networks, graph neural networks (GNNs), generative
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Researcher (R1) Positions Postdoc Positions Application Deadline 15 Mar 2026 - 23:59 (Europe/Oslo) Country Norway Type of Contract Temporary Job Status Full-time Hours Per Week 37,5 Is the job funded through
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provided. Motivation letter (max. 2 pages). PhD certificate (copy). A cover letter (See Application for CTU Global Postdoc Fellowship form) You may attach other documents supporting your application such as
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waiting to be printed, do count if a proof of acceptance is provided. Motivation letter (max. 2 pages). PhD certificate (copy). A cover letter (See Application for CTU Global Postdoc Fellowship form) You
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experience with DFT codes will be very highly valued. • Knowledge of chemical reactions and how to model them through computer simulations is highly valued. • Knowledge of classical molecular dynamics
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simulation. Establish a multiscale LPC experimental system, which allows probing light-induced phase change mechanism and provides valuable validation data for the multiscale modeling above. Develop NanoLPC