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Computational Color Research, Image Processing, Computer Vision. Knowledge of latest generative architectures Good programming skills using Python Other merits Experience superior to that required in similar
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our team at DTU Compute, offering a fully funded position within a dynamic and interdisciplinary research environment. The positions are part of the research project “AI-driven materials optimization
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: Postdoctoral Position Location: Taipei, Taipei, Taiwan [map ] Subject Areas: Physics / Computational Materials Sciences , Computational physics , Condensed Matter Physics , Condensed Matter Theory , materials
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computational study of material properties demonstrated as first author of at least 2 articles, with a fundamental simulation component performed by the candidate, indexed in the Science Citation Index Expanded
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) position for a First Level Doctorate Researcher for the exercise of research activities in the scientific area of Chemistry or Physics, to perform computational studies of bidimensional materials with exotic
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collaboration, and other quantum materials, and their modeling and simulation. Projects will include computational discovery of new quantum materials and optical materials and their heterogeneous structures
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an interdisciplinary team working across physical and computer science to develop new pathways to the design and discovery of inorganic materials as part of the Leverhulme Centre for Functional Materials Design. This
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Description The Smart Materials Lab (Panče Naumov Group) at the Division of Science and Mathematics, New
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POSTDOC POSITION IN ADVANCED COATING OF LFP MATERIALS – IN COLLABORATION WITH THE UNIVERSITY OF WATERLOO, CANADA We are seeking a highly motivated Postdoctoral Research Associate (PDRA) to explore
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computer aided methods. Qualifications and Experience • Outstanding academic degree in materials science, metallurgy, metal physics or similar degree • Excellent doctorate with focus on computational