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. Requirements Masters degree in physics (grade of "good" or better). Experience in scientific programming (e. g., Python, Julia). Interest in experimental physics. Good command of English (that will be
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semester Application deadline Will be announced on webpage: https://www.mgse.econ.uni-muenchen.de/application/index.html Tuition fees per semester in EUR None Combined Master's degree / PhD programme No
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Prof. Noomane Ben Khalifa (Hereon/??Leuphana University Lu?neburg) and supported by Dr.?Ing. Frederic Bock (Hereon). The objective is to combine computer simulations and machine learning models to extend
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individuals holding a Master of Science degree in condensed matter physics or materials science, with a focus on numerical simulations - Prior experience with theoretical and or computational project work is
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Dr. Vitor Neves at University of Sheffield (England) and other international partners. Candidate Profile: We are looking for a highly motivated candidate with: Master of Science degree or a Diploma in
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Apply online now: https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=27222 PhD Student – Computational Multi-Omics for Precision Oncology (m/f/d) Stellenanzeige merken
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Description Senckenberg – Leibniz Institution for Biodiversity and Earth System Research (SGN), headquartered in Frankfurt am Main, is seeking to fill the following position in the Department of Molecular
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Max Planck Institute for Chemical Physics of Solids • | Dresden, Sachsen | Germany | about 2 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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Degree Dr rer nat (PhD equivalent) in Astrophysics/Astronomy Course location Bonn In cooperation with University of Cologne Teaching language English Languages The entire programme is taught in
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Project & Group: You will work in the Computational Chemistry group, led by Dr. Mehdi D. Davari, an interdisciplinary team focused on accelerating chemical and biological discovery using computational tools