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science, chemistry, electrical engineering or a related discipline Strong background in materials informatics and data science Proficiency in Python programming Experience in machine learning for materials
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INSAIT - The Institute for Computer Science, Artificial Intelligence, and Technology, INSAIT Position ID: INSAIT -INSAIT -POSTDOC [#28768] Position Title: Position Type: Postdoctoral Position
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University of Basel, Condensed Matter Theory and Quantum Computing Position ID: University of Basel -Condensed Matter Theory and Quantum Computing -POSTDOC [#21540] Position Title: Position Type
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studies, science and technology studies, digital humanities, computer science, literary studies, philology, cultural studies, history and philosophy of science and technology, information studies, or other
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international research community starting in October 2025. The ideal candidate possesses a PhD in materials science, physics, chemistry, electrical engineering, mechanical engineering or related fields. Prior
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on contemporary US/Anglophone science fiction. These may be restricted to literature, but may also involve other media such as movies and TV series. Other theoretical frameworks than those mentioned above and other
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open-source platform redefining how viral sequence data is shared and governed globally, powered by the modular, federated backend database software Loculus This is a computational position focused on
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work with rich datasets, advanced analytical tools, high-performance computing infrastructure, cutting-edge photonic sources, and modern industrial machinery. In this position, you will contribute
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of Psychology. There is a broad focus of research and teaching in the lab, including computational photography, media studies, science and technology studies, videogame studies, critical making and design, AI and
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. Utilizing a combination of experimental and computational approaches, we develop and characterize novel functional materials and devices driven by robust nanoscale quantum effects. We are currently seeking a