75 computational-physics "https:" "https:" "https:" "https:" "Dr" uni jobs in Germany
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W3 Endowed Professorship for “Hemodynamic Modeling in Atherosclerosis- (f/m/d) KSB Foundation W3 end
are a completed university degree, a qualified doctorate (Ph.D., Dr. rer. nat., Dr.-Ing., or comparable) in a relevant field (e.g., computer science, applied mathematics, biomedical engineering, medical
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for three letters of reference to be submitted via https://www.pks.mpg.de/reference . Please submit all materials by April 3rd, 2026. Apply now Prof. Dr. Frank Jülicher Max Planck Institute for the Physics
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”). Additional Information Eligibility criteria Find the full job advertisement here: https://www.uni-kiel.de/en/cluster-roots/career/jobs Selection process For your application, please send the following
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Master’s degree (or equivalent) in a relevant discipline such as computer science, mathematics, physics, or data science. They should have strong analytical skills related to statistics, machine learning
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Faculty of Science, Instituteof Physics and
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In a joint recruitment between the Martin-Luther University Halle-Wittenberg (MLU) in the Faculty of Natural Sciences II - Chemistry, Physics and Mathematics - and the Leibniz Institute of Plant
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the DFG Priority Programme “Molecular Machine Learning” and embedded in the research project “Multi-fidelity, active learning strategies for exciton transfer in cryptophyte antenna complexes”. The PhD
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Research Center / Transregio 227 “Ultrafast Spin Dynamics”, subproject B03, project leader Prof. Dr. Piet Brouwer (https://www.trr227.de/projects/area_B/B03/index.html ). There is an opportunity to earn a
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degree program according to the licensing regulations for pharmacists (state examination) and in pharmaceutical process engineering-oriented degree programs (MSc Pharmaceutical Process Engineering, BSc
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, information science, sociology, communication science, political science, linguistics, physics Very good knowledge of R and/or Python Experience in the use of machine learning and natural language processing in