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, with subjects for doctoral theses in experimental and theoretical particle and astroparticle physics as well as engineering, in particular in the areas of electronics, detector instrumentation, sensor
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Functional Theory (DFT) Familiarity with artificial intelligence methods Good knowledge of electronic structure methods Experience with Linux, Git and related tools Knowledge in the field of high-performance
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metamaterials. The successful candidate participates actively in the qualification program and general scientific activities of D³. More information can be found at https://tu-dresden.de/ing/forschung
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statement that outlines your vision for contributing to one or more of the focus areas) by April 6, 2026 (stamped arrival date of the university central mail service or the time stamp on the email server
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: https://g.co/kgs/sSYfhBy Email: becainternacional@edomex.gob.mx
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excellent research opportunities due to the University, three Max Planck institutes, the University Hospital, and Europe’s largest AI research consortium. You can find out more about Tübingen here: https
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institution. At the Faculty of Computer Science, Institute of Artificial Intelligence, the Chair of Machine Learning for Computer Vision offers two full-time positions as Research Associate / PhD Student (m/f/x
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and oral Experience with atomistic electronic structure calculations Programming skills Advantages are: Prior knowledge of atomic and molecular physics Thorough and independent working style Knowledge
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Description We invite applications for a fully funded PhD position within the DFG Priority Programme SPP2389. https://tu-dresden.de/mn/biologie/allgemeine_mikrobiologie/spp2389?set_language=en
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of the 15 CAFE-BIO research projects at https://cafe-bio.org/projects . Any enquiries on the projects themselves should be sent directly to the contact email provided for each project. At the time of