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Apply Now How to Apply Application materials should be submitted through the University of Michigan Mechanical Engineering website at https://me.engin.umich.edu/lecturersearch . To apply, please
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14 Sep 2026 Job Information Organisation/Company RWTH Aachen University Department Mechanical Engineering Research Field Engineering » Mechanical engineering Physics » Thermodynamics Mathematics
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investigates the thermodynamic modelling of chloride migration in concrete exposed to accelerated chloride ingress conditions, with particular focus on replicating and predicting the results of the NT Build 492
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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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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
recognize their binding partners across a wide range of biological systems. The full job description is available, here: https://acrobat.adobe.com/id/urn:aaid:sc:US:7d84d117-3ccf-4b4c-8003-d26734ef13b3 Job
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD work will be carried out within the EMPRe team (https://dcm.univ-grenoble
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. Expertise: Ability to communicate effectively in English. Knowledge of thermodynamic laws, refrigerator cycles, electricity principles, test/detection instruments, hand/power tools, AC/DC currents, wood
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medium. To determine thermodynamic parameters associated with hydrolysis or complexation, partition techniques (liquid-liquid extraction or ion exchange combined with gamma spectrometry) will be
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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