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PhD Research Fellow in Theoretical and Computational Active Matter Physics for Glioblastoma Invasion
and computational in nature and include: Developing physics-based, deformable cell models of glioblastoma invasion that incorporate nuclear and cytoskeletal mechanics Applying active-matter theory
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for Catalysis and Organic Chemistry at the Department of Chemistry. The group has extensive experience in computational modelling, reaction mechanisms, and machine learning for catalyst design and discovery. Nova
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PhD Research Fellow in Theoretical and Computational Active Matter Physics for Glioblastoma Invasion
on identifying biomechanical tipping points at which invasion becomes mechanically unfeasible. The work of the PhD fellow will be theoretical and computational in nature and include: Developing physics-based
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Mar 2026 - 23:00 (Europe/Oslo) Country Norway Type of Contract Temporary Job Status Full-time Hours Per Week 37.5 Is the job funded through the EU Research Framework Programme? Not funded by a EU
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statistical physics, solid mechanics, or fluid mechanics Experience with data-driven modeling, parameter estimation, or model calibration Familiarity with high-performance computing or large-scale simulations
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://www.jobbnorge.no/en/available-jobs/job/293755/phd-research-fellow-in-fluid-mechanics Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/293755/phd-research-fellow-in-fl… Requirements Research
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physics Solid programming skills Desired qualifications: Experience in statistical physics, solid mechanics, or fluid mechanics Experience with data-driven modeling, parameter estimation, or model
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2026 - 23:00 (Europe/Oslo) Country Norway Type of Contract Temporary Job Status Full-time Hours Per Week 37.5 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
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"), which is a recently funded NFR project led by William Reinar. The PhD project will investigate molecular mechanisms that regulate heat stress memory, which is a vital mechanism for plant resilience
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on theory, methods and applications. The areas represented include: fluid mechanics, biomechanics, statistics and data science, computational mathematics, combinatorics, partial differential equations