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available in the further tabs (e.g. “Application requirements”). Objective The primary aim of this programme is to promote the research projects within the context of the doctoral degrees and scientific
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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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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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of inverters and their components. Building on previous research results, various tests to evaluate the quality and performance of PV-inverters shall be developed. For this purpose, a test plan needs to be
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PhD student (m/f/d) in the field of organoids, stem cell research and lung development and disease The positions are part of the Professorship for Lung Organoids and Tissue Engineering for Advanced
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Description Reference number 3694: PhD student researching and developing alternative methods to animal testing (f/m/d) in the Experimental Toxicology and ZEBET department of the German Federal
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are looking for a Scientist / Researcher (all genders) for the Development of HHG-based XUV and X-Ray Sources Part-time 65 % Posting ID: 25.53-4232 Are you interested in doing a PhD using the strongest laser
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accelerators. For a doctoral position in the Laser Particle Acceleration group of the institute, we are looking for a Scientist / Researcher (all genders) for the Development of HHG-based XUV and X-Ray Sources
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Development). Selection As a first step, all applicants must submit a complete application for the programme via the DAAD Portal. Please be aware of the DAAD’s application deadline as well as the National
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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