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We are seeking a motivated and Talented experimentalist for a full-time Research Assistant in Quantum Thermodynamics within Professor Ares’ research group at the Department of Engineering Science
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Postdoctoral Research Assistant in Thermodynamics at the Nanoscale Central Oxford We are seeking a motivated and Talented experimentalist for a full-time Research Assistant in Quantum Thermodynamics
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include: · Developing simplified 0D thermodynamic and hydrodynamic models for preliminary injector design and sensitivity analysis; · Developing advanced multiphase and multi-species models and performing
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of high speed flows, including supersonic gas mixture flows involving CO2 under thermodynamic non-equilibrium conditions. Proven experience in supersonic flows with metastable condensation and nucleation
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methods that trigger and trap dynamic protein motions in real time. Integrating structural, electrophysiological, thermodynamic, and computational approaches into quantitative models of protein dynamics
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» Thermodynamics Physics » Chemical physics Physics » Computational physics Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Positions Postdoc Positions Application Deadline 30 Sep 2026 - 00
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thermodynamics and mineral analysis are particularly encouraged to apply. While not required, familiarity with experimental petrology is beneficial. Interest in outreach to the public is also beneficial. The start
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calculations, such as two-phase coexistence simulations, thermodynamic integration, or the Z-method. ● Research experience with geological materials at high pressure and high temperature. ● Experience
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
, thermodynamics, and macromolecular structure; ability to drive research independently while collaborating effectively within a team, and a track record of meeting deadlines; and fluency in English for scientific
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finite-temperature anharmonic effects, thereby expanding the existing ab initio thermodynamic database to support the Bayesian inversion framework of the SHARP Thematic Project (Task 21, WP3). The project