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++, or Julia, with strong numerical modeling, data analysis, and reproducible code development skills; experience with Git-based workflows and AI or ML for science is a plus. Experience designing and executing
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. Knowledge of fluid mechanics, computational mechanics, mathematical modelling, numerical methods, or medical image analysis is considered an advantage. Experience with experimental fluid mechanics, laboratory
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the applicable legislation and norms. 1 – Admission requirements: 1.1 — Applicants to the Competition must be holders of a PhD degree in the area or area related to it for which the competition is open. 1.2
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Social and Historical Sciences. For more information see www.ucl.ac.uk/about This Post is for a Research fellow joining the UNESCO Chair in Disaster Risk Reduction and Resilience Engineering team, https
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) Positions PhD Positions Application Deadline 2 Sep 2026 - 23:59 (Europe/Berlin) Country Germany Type of Contract Temporary Job Status Part-time Hours Per Week 29,55 Offer Starting Date 1 Nov 2026 Is the job
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 8 days ago
health, water and energy to help Carolina continue to be a leader in science innovation and the application of knowledge. APS has united numerous scientific entities on campus to further its mission
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 3 hours ago
health, water and energy to help Carolina continue to be a leader in science innovation and the application of knowledge. APS has united numerous scientific entities on campus to further its mission
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of Associate Professor or Full Professor with a teaching load of 1-1. The department has 13 full-time faculty members engaged in diverse research programs across numerous disciplines. Faculty are also highly
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Albert-Ludwigs Universität Freiburg | Freiburg im Breisgau, Baden W rttemberg | Germany | about 1 month ago
related field. A strong interest in bridging experimental mechanics and numerical simulation. Prior exposure to dynamic or impact testing, composite materials, image or tomography analysis, the finite
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signal processing, imaging, inversion, or source characterization, is highly desirable. Proficiency in Python, C++, or Julia, with strong numerical modeling, data analysis, and reproducible code