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and the current transcript of Bachelor and/or Master courses and grades), and any recommendation letters via our application portal (reference number 2026-DS-1): https://www.atb-potsdam.de/en/career
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Your Job: Investigate current challenges and bottlenecks in power flow analysis for large scale electrical distribution grids Apply machine learning/AI or surrogate modeling (e.g., neural networks
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/en/datenschutzhinweis-bewerbungen/ . Where to apply Website https://berufungen.uni-hannover.de/ Requirements Research FieldEngineering » Electrical engineeringEducation LevelPhD or equivalent Research
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in the 36 months immediately before your recruitment date (mobility rules of the Marie Skłodowska-Curie program) Masters degree in electrical/electronic engineering, computer engineering, computer
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will also profit from the vibrant research community around machine learning of the SCADS.AI center (https://scads.ai ) and the recently granted Excellence Cluster REC² – Responsible Electronics in
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the research aspect, i.e. the PhD student works on a current research topic in the area of computer science in one of the computer science research groups of the University of Göttingen. The research
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9 Feb 2026 Job Information Organisation/Company Technical University of Munich Department Computer Engineering Research Field Technology » Communication technology Researcher Profile First Stage
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testing process Your Profile: Excellent masters degree in physics, electrical engineering, mechatronics, process engineering or a similar field Strong interest in pursuing research on electrochemical
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processing, algorithm design, optimisation and simulation, software engineering and automation and control systems. An overview of the current PhD research projects is given here: https://www.dashh.org
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, geosciences, mechanical/electrical engineering, or a related field Very good understanding of data analysis and/or machine learning Programming experience, ideally in Python and C (additional languages such as