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Mechanics group at the Max Planck Institute for Sustainable Materials in Düsseldorf What we do Discover with us the world of sustainable materials in our three-year doctoral program, conducted entirely in
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the most effective way. The overarching objective of the GSEFM PhD programme is to thoroughly prepare graduates for taking on leading positions in academia or serving as experts in international institutions
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PhDGermany Find your suitable PhD opportunity in Germany. Find your suitable PhD opportunity in Germany. Back to Overview Working LanguageEnglish LocationMünchen Application Deadline30 Jan 2026
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Carl von Ossietzky Universität Oldenburg | Oldenburg Oldenburg, Niedersachsen | Germany | about 23 hours ago
find comprehensive information and benefits about working at the University Medicine Oldenburg at the following link (https://uol.de/en/fk6/profil-und-struktur/personalmanagement/jobs/benefits ). Our
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Max Planck Institute for Chemical Physics of Solids • | Dresden, Sachsen | Germany | about 4 hours ago
received outside our main recruitment window. Submit application to We expect candidates to submit their applications online. You can find guidelines for our application procedure at https://imprs
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position will be supervised by Prof. Noomane Ben Khalifa (Hereon/Leuphana University Lüneburg) and supported by Dr.‑Ing. Frederic Bock (Hereon). The objective is to combine computer simulations and
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"semester ticket" covering public transportation in the greater Münster area as well as all of Germany. You can find more information here: https://www.uni-muenster.de/studieninteressierte/en/einschreibung
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-HEART Consortium: Method development to quantify very low-concentrated proteins in human blood plasma, e.g. using targeted LC-/MS/MS methods to detect interleukins Continuous development of existing
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-HEART Consortium: Method development to quantify very low-concentrated proteins in human blood plasma, e.g. using targeted LC-/MS/MS methods to detect interleukins Continuous development of existing
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will apply machine learning — in particular physics-constrained symbolic regression — to discover compact analytical spin-Hamiltonians and their parameter dependencies. These Hamiltonians will feed large