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Institute of Neuroscience and physiology, Sahlgrenska Academy, university of Gothenburg | Sweden | 23 days ago
Researcher (R1) Application Deadline 21 Sep 2026 - 12:00 (UTC) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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fluid administration; will walk animals outside; will clean ward areas, stock supplies; will process lab samples and medication orders; enters charges in the hospital information system; assists
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) program will become the third academic program within the Zachry Department of Civil & Environmental Engineering in the College of Engineering at Texas A&M University. The Zachry Department of Civil
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the Mechanical Engineering Program. This position focuses on advanced mechanics frameworks that support the operation, efficiency, and resilience of materials and structural systems in modern energy applications
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Italian languages; expertise in the fields of aerospace propulsion, computational fluid dynamics (CFD), turbulent combustion, and advanced numerical modeling, with particular reference to simulations
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propulsion, computational fluid dynamics (CFD), turbulent combustion, and advanced numerical modeling, with particular reference to DNS/LES simulations, hydrogen-based fuels, and applications in aerospace
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reduced price Vitamin supplements, free drinking water/fluids Sports and cultural teambuilding events Website: https://www.ibp.cz/cs/ Expected start date: 1. 9. 2026 Deadline for application: 28. 8. 2026
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of low-temperature geochemistry. Successful applicants could focus on a wide variety of topics, with examples including but not limited to water and carbon cycle dynamics, paleoclimate, and fluid-rock
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the Mechanical Engineering Program. This position covers the applications of artificial intelligence and data-driven methods to understand, design, and optimize complex energy systems and devices. Example topics
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ExperienceNone Additional Information Eligibility criteria Expected skills : • Strong background in computational fluid dynamics. • Knowledge of RANS and/or LES methodologies. • Interest in uncertainty