43 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" PhD scholarships at DAAD in Germany
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(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-dresden.de by sending it
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you can submit via our online-applicationsystem: https://www.hzdr.de/db/Cms?pNid=490&pLang=en&pOid=76059
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the usual documents by December 11, 2025(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
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of the research consortium About you: You are fascinated by microbiology and have a strong desire to learn and grow professionally. You have a Master’s degree in the biosciences or are close to completing such a
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, medical image reconstruction principles and experience with high-performance computer simulations in physics would be beneficial Experience in working with medical imaging data, especially with PET, and
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this link and scroll to the end of the site to our official call: https://www.medizin.uni-muenster.de/en/molneph/teaching-jobs/jobs.html
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/transcripts, contact details of two references, e.g. former superiors) until 7 December 2025, which you can submit via our online-application-system: https://www.hzdr.de/db/Cms?pNid=490&pOid=75910&pContLang=en
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of the German Armed Forces Munich), the DLR (German Aerospace Center) with its Oberpfaffenhofen institutes, and the BHL, the Bauhaus Luftfahrt. This pooling of research, graduate programmes and teaching merges
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principles, kinetic Monte Carlo, machine learning) will be applied to investigate diffusion phenomena and link speciation with spectroscopic signatures. Formal requirements include a Master's degree in
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missions. Prior experience with methods of statistical inference using simulations or anomaly searches with machine-learning approaches is desirable.