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focused on theoretical, numerical and experimental aspects of the mechanics of materials. The division has strong activity in the development and exploitation of X-ray and neutron methods for materials
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und Stellenangebote > Academic staff > PhD position in Scientific Machine Learning: Data science at scale and mixed precision solvers Back to News Board Browse in News PhD position in
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). Where to apply Website https://www.academictransfer.com/en/jobs/364379/post-doctoral-position-in-exper… Requirements Specific Requirements A PhD degree in Mechanical Engineering (composite materials
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successful candidate will contribute to a research project focused on the development, testing, and analysis of resilient geotechnical systems. The work will rely on centrifuge modeling, geotechnical
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successful candidate will contribute to a research project focused on the development, testing, and analysis of resilient geotechnical systems. The work will rely on centrifuge modeling, geotechnical
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successful candidate will contribute to a research project focused on the development, testing, and analysis of resilient geotechnical systems. The work will rely on centrifuge modeling, geotechnical
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Website https://island.is/starfatorg/x-eb89032e-c9fe-4378-8e4c-fd0ee4cbc0e7 Requirements Research Field Mathematics Education Level PhD or equivalent Skills/Qualifications A PhD in mathematics, applied
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, and excited about, conducting high-quality research in an area that combines applied mathematics/mathematical physics and electromagnetic analysis. The postdoctoral position will focus on developing
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contribution. Experience with scientific programming, experimental automation, and data analysis using, for example, Python, MATLAB, or LabVIEW. Experience with numerical modelling of nonlinear or
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Instructions Application through http://jobbnorge.no : https://www.jobbnorge.no/en/available-jobs/job/302170/up-to-5-phd-fellows-in-machine-learning-at-the-arctic-institute-for-ai-in-science-and-innovation