1,905 computer-security "https:" "https:" "https:" "https:" "UCL" positions in Germany
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physics, as well as by committing to organizational and implementation-related tasks within the Excellence Cluster. Further information about the Excellence Cluster can be found at: http://www.ml-in
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applications for the AG Liesz on the 1st April 2026, in full time, for Postdoctoral Researchers in Trained Immunity, Epigenetics or Computational Biology – ERC funded (m/f/d) Scope of duties A postdoctoral
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holidays and weekends (e.g. between Christmas and New Year) Further development of your personal strengths, e.g. through an extensive range of training courses; a structured program of continuing education
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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 as a single pdf file to
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Degree Doctoral degree in Physics Course location Köln In cooperation with University of Bonn Teaching language English Languages The entire programme is taught in English. Programme duration 6
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Materials” with its about 100 members is a central structural element of the Cluster. It offers a training programme preparing the doctoral researchers not only for their research career and their work in the
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Scientific communication of the results (publications, conference presentations) Intense interaction with consortium Your Profile: Master and PhD degree in materials science, physics, chemistry, informatics
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: https://www.uni-giessen.de/en/faculties/ggkgcsc/graduate-programmes/phdnet/phdnet Integrated internships An internship is not part of the programme. Teaching/work obligations or opportunities Members have
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within the faculty participate in the programme. The course content is very broad and the specific subject of the dissertation depends on the institute. For research subjects, please see our website: http
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yield new insights into food-effector systems, sophisticated and tailored computational methods are needed. This project aims at combining probabilistic machine learning methods with prior knowledge in