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, bioinformatics. Excellent written and spoken English; strong motivation and team spirit How to apply (single PDF) Motivation letter, CV, certificates/transcripts & contact details of two academic referees. Email
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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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, 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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mechanisms using computer simulations and the methods of non-equilibrium statistical physics. The Research The PhD student will work under the supervision of Dr. Philip Bittihn within the European Doctoral
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of the university central mail service or the time stamp on the email server applies), preferably by sending it as a single pdf file to jobs at ioer.de (Please note: We are currently not able to receive
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documents by March 26, 2026 (stamped arrival date of the university central mail service or the time stamp on the email server of TUD applies), preferably via the TUD SecureMail Portal https://securemail.tu
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of the university central mail service or the time stamp on the email server applies), preferably by sending it as a single pdf file to jobs at ioer.de (Please note: We are currently not able to receive
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4‑year PhD position in the area of machine learning and computer simulations. The focus of the PhD project will lie on developing machine learning models for clustering, classification, regression and
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://www.tuebingen.de/en/ How to apply: If you are interested in the position, please get in touch with Tobias Hauser ( tobias.hauser at uni-tuebingen.de ) via email enclosing your CV. For formal applications, please
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a combination of biochemical reconstitution, biophysical characterization and structural biology (including AlphaFold predictions and cryo-Electron Microscopy), we will investigate the formation