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Deadline 16 Apr 2026 - 22:00 (UTC) Country Germany Type of Contract To be defined Job Status Other Offer Starting Date 13 Mar 2026 Is the job funded through the EU Research Framework Programme? Not funded by
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to collaborate closely with existing structures, such as the FAU Competence Center Engineering of Advanced Materials (FAU EAM), the Erlangen National High-Performance Computing Center (NHR@FAU), the FAU Data
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24 Feb 2026 Job Information Organisation/Company Hochschule Niederrhein Department Textile and Clothing Technology Research Field Engineering » Biomaterial engineering Researcher Profile First Stage
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PostDoc/Senior Scientist - Process and Plant Design in the Field of Liquid Organic Hydrogen Carriers
reactor design and efficient heat integration Collaboration with the department experimental technology testing for the implementation of processes at laboratory, miniplant, pilot, and demonstration scale
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Constructor Technology, invites applications for Fast-track Ph.D. positions in Computer Science. About the Position Constructor University, in collaboration with Constructor Knowledge Labs (CKL) and Constructor
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Leibniz Institute of Plant Biochemistry (IPB) in Halle (Saale), Germany, where we are offering a fully-funded PhD position within the DFG Priority Programme SPP2363: “Molecular Machine Learning”. About the
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electrical engineering, computational engineering, or a related discipline A strong foundation in power system modelling and simulation Solid programming skills (Python, C++, or comparable languages) Interest
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Faculty of Computer Science and Electrical Engineering is seeking to fill the W3
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Your Job: Join the consortium research project LILLINT II, financed by the U.S. Department of Energy (DOE) and the Federal Ministry for Research, Technology and Space (BMFTR), of American and German
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interdisciplinary team of engineers, computer scientists, and life scientists Regularly participate in international conferences to present your own work, and learn about state-of-the-art machine learning and