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For our location in Hamburg we are seeking: Scientist in experimental particle physics Unlimited | Starting date: 01.09.2024 | ID: FHMA012/2024 | Deadline: 10.07.2024 | Full-time/Part-time | Remote
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European Magnetism Association EMA | Greifswald, Mecklenburg Vorpommern | Germany | about 2 hours ago
Description of the offer : The University of Greifswald’s Faculty of Mathematics and Natural Sciences is seeking candidates for the position of “Professor (W2) of Experimental Physics specialising
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. However, the requirements for the cutting process vary depending on the electrode design and chemistry. Continuous compliance with high standards of process stability and product quality is therefore a
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for tactile sensors • Application of machine learning methods for object recognition and optimization of the gripping process What you bring to the table • Studies at a university or college in
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aspect of process planning is determining the production times for a given product. This is currently only possible through complex simulation, as there is a lack of comprehensive models. There is an
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Dietrich on methods for physics-enhanced machine learning. About Us Located in the prosperous capital of Bavaria and home to over 40000 students, the Technical University of Munich (TUM) is one
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Dietrich on methods for physics-enhanced machine learning. About Us Located in the prosperous capital of Bavaria and home to over 40000 students, the Technical University of Munich (TUM) is one
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Max Planck Institute for Plasma Physics (Greifswald), Greifswald | Greifswald, Mecklenburg Vorpommern | Germany | about 1 hour ago
Job Code: gw24/026 Job Offer from June 25, 2024 The Max Planck Institute for Plasma Physics as an institute of the Max Planck Society for the Advancement of Science (registered association) is one
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topics in semiconductor technology and power electronics. The »AI-supported simulation« team combines physically based simulation approaches with efficient and advanced mathematical algorithms andAI
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topics in semiconductor technology and power electronics. The »AI-supported simulation« team combines physically based simulation approaches with efficient and advanced mathematical algorithms and AI