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industry partners in the department of the same name to further develop LPBF for a wide range of industrial applications – from new machine concepts and innovative process strategies to the processing
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Your Job: Hydrogen is a key element of the energy system of the future. However, in many processes it is only produced in limited purity and/or is only available at low pressures. Your task is to
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wide range of markets such as automotive, industrial and aerospace. Would you like to contribute your comprehensive knowledge of CMOS processing in the emerging field of quantum technologies? Are you
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Postdoctoral Position (f/m/d) | Spectro-Microscopy Studies of Complex Processes in Thermal Catalysis
-Microscopy Studies of Complex Processes in Thermal Catalysis for the Spectro-Microscopy group within the Department of Interface Science. The Department of Interface Science , headed by Prof. Beatriz Roldán
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interdisciplinary team at the Technische Universität Dresden, focusing on the integration of multi-omics data to better understand, diagnose, and treat metabolic diseases (i.e. obesity, diabetes, metabolic
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wide range of markets such as automotive, industrial and aerospace. Would you like to contribute your comprehensive knowledge of CMOS processing in the emerging field of quantum technologies? Are you
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30 Sep 2025 Job Information Organisation/Company Universität Siegen Research Field Computer science » Computer systems Researcher Profile First Stage Researcher (R1) Country Germany Application
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/InstituteInstitute of Mathematics and Computer ScienceCountryGermanyCityGreifswaldPostal Code17489StreetWalther-Rathenau-Str. 47Geofield Contact City Greifswald Website http://www.uni-greifswald.de/?L=1 Street
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Postdoctoral researcher (m/f/d) in the field of physics, physical engineering, technical computer sc
science, materials engineering and chemistry to improve the safety of products and processes. At BAM we do research that matters. Our work covers a broad array of topics in the focus areas of energy
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-edge Machine Learning applications on the Exascale computer JUPITER. Your work will include: Developing, implementing, and refining ML techniques suited for the largest scale Parallelizing model training