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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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23 Mar 2026 - 23:59 (UTC) Country France Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Sep 2026 Is the job funded through the EU Research Framework Programme
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at the University of Texas at Austin invites applications for a postdoctoral researcher to study Earth hazards under the Project SHIELD initiative (Science for Hazards, Impact, Evaluation, and Long-term Defense). The
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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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mechanisms, and response to therapy. ? Conceive, implement and test statistical models; analyze data from experiments. ? Present results to a variety of audiences, including non-computational researchers
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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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or equivalent Specific Requirements Academic qualifications: - MSc Degree in Informatics Engineering. . Minimum profile: - Solid Knowledge of operating systems, including kernel structures., - Proven experience
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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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: Investigate mechanisms of T-cell development, aging, and thymic involution using in vitro and in vivo models. Characterize and modulate the T-cell receptor (TCR) repertoire, including repertoire diversity