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Field
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funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number DSS-23 Is the Job related to staff position within a Research Infrastructure? No Offer Description GESIS
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the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission analysis, and infrared thermography
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world of sustainable materials in our three-year doctoral program, conducted entirely in English. Become part of an international community of scientists in Germany's vibrant Rhine-Ruhr metropolitan region
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this project, you will develop innovative quantum algorithms for the accurate calculation of materials properties. You will combine methods from quantum informatics and solid-state physics to describe
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programme No Description/content The IMPRS for "Quantum Dynamics and Control" is a graduate school with its headquarters at the Max Planck Institute for the Physics of Complex Systems in Dresden/Germany and
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) for three years. Experimental and computational projects available in Germany at the partner institutes Max Planck Institute for Sustainable Materials, Düsseldorf Max-Planck-Institut für Kohlenforschung
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processes that produce energy and raw materials. The Department of Thermodynamics of Actinides is looking for a PhD Student (f/m/d) - Machine Learning for Modelling Complex Geochemical Systems. The job
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grades in the field of mechanical engineering, material science, physics, computational science or similar, with experience in modeling and simulation Strong understanding of the (computational) mechanics
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Infrastructure? No Offer Description Work group: IAS-9 - Materials Data Science and Informatics Area of research: Promotion Job description: Your Job: Digital methods for inverse materials design are essential
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physics, and dynamical imaging in all areas of science covering physics, chemistry, and biology. The program offers exciting research opportunities at ultra-intense electron and X-ray sources to directly