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Description The Institute for X-ray Physics of the University of Göttingen welcomes applications for a PhD Position (f, m, d) starting as soon as possible. The salary is based on TV-L E13 (75
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of Computer Science is part of the TUM School of Computation, Information and Technology (CIT). **Employment Conditions** • Start date: Flexible, from January 2026 onward • Salary: Based on the German public sector pay
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scientists at six institutions in the Ruhr area covering experimental chemistry, theory and chemical engineering investigate how solvents are involved in the control, mediation and regulation of chemical
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Description The International Max Planck Research School for Quantitative Behavior, Ecology and Evolution from lab to field (IMPRS-QBEE) is looking for two motiviated PhD students to start latest in
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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. For TUD, diversity is an essential
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the field Requirements: MSc in Physics, Mathematical/Theoretical Biology, or Chemical Engineering Very good written and spoken English skills Curiosity about the mechanisms underlying life and disease Self
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processes that produce energy and raw materials. The Department of Structural Materials is looking for a PhD Student (f/m/d) in Ion Irradiation and Materials Characterization of Novel Additively Manufactured
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Description DAAD Graduate School Scholarship Program (GSSP) in Experimental Geosciences The Doctoral Program of Experimental Geosciences at the University of Bayreuth has been awarded a prestigious DAADGraduate School Scholarship Program (GSSP) . This program offers up to four doctoral...
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Description Where: At the Chair for Computational and Theoretical Biology ( CCTB ) and the Center for Artificial Intelligence and Data Science ( CAIDAS ) of the University of Würzburg. Project description: Spatial interactions are key processes for the development and maintenance of...
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Particle Acceleration is looking for a PhD Student (f/m/d) Multimodal Reconstruction of Laser-Electron Accelerator Phase Space using Physics-Informed Deep Learning. Your tasks Understand the physical process