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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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-cell approaches, the lab maps vulnerability and resilience in ageing brains. By combining molecular cell biology with computational tools - including AI-driven hypothesis generation - we aim to uncover
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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