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available in the further tabs (e.g. “Application requirements”). Objective The general aim of the programme is to train young academics and scientists through funding of PhD degree studies in Germany. Who can
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be trained step by step as a machine operator and actively support the ongoing production processes. You will independently conduct quality control in parallel with production and prepare the product
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Max Planck Institute for Chemical Energy Conversion, Mülheim an der Ruhr | M lheim an der Ruhr, Nordrhein Westfalen | Germany | 2 months ago
of molecules. The Department of Electrosynthesis of Prof. Dr. Siegfried R. Waldvogel is presently looking for candidate for a Ph.D. student (m/f/d) - Discovery and Development of Electrosynthetic Reactions
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to join our dynamic team. As part of the newly funded ERC Synergy consortium EPIC, you will develop scalable and robust software to train and apply AI models for regulatory genomics. About us The Chair of
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this position, your main responsibilities will include: Gaining proficiency with the simulation tool HeatNetSim and the modeling framework uesgraphs Developing an interface to integrate HeatNetSim with uesgraphs
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education in Germany, promotes international academic exchange as well as educational co-operation through a variety of funding and scholarship programmes. The Ministry of Mineral Resources and Petroleum of
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space for a total of approx. 190 employees and sev-eral site partners. As a bridge builder between research and industrial development, Fraunhofer ISIT is a particularly innovative part of the value chain
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of doctoral or research project More detailed information More information about model 1 (KOSPIE scholarships) can be found here: Combined study and practical stays for engineers from developing countries
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and Natural Sciences in the 2nd semester of their 2 year Master’s programme or 4th Semester of their 3 year MTech programme or in the 8th semester of an integrated / dual degree programme. What can be
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Your Job: Join AMI, the Artificial Materials Intelligence division at the IET-3 at Forschungszentrum Jülich to develop an Autonomous Multi-Agent Performance Prediction Framework for PEM water