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: Required Qualifications: Very good performance in your Master’s studies in Electrical Engineering, Computer Science, Geoinformatics, Energy Systems, or related field Very good knowledge of Machine Learning
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edge of energy systems and computational engineering, developing scalable methods to simulate and secure IBR-dominated grids. Your key responsibilities include: Conducting large-scale simulations
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establishing the institute`s research infrastructure and laboratory operations Your Profile: Bachelor or Master`s degree in physics, electrical engineering, control systems engineering, mechatronics, or a
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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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entropy or Kullback-Leibler divergence vs. measurement time Analysis and documentation of the results Your Profile: Excellent academic performance in a master’s program in electrical engineering, materials
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. The candidate will first optimise sample preparation and then use the plasma focused ion beam technique to investigate how ion beam irradiation parameters, such as ion beam current, affect defect formation
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to compare supply chains across different scenarios Analyze and visualize the results obtained from the developed scenarios Your Profile: Current master`s studies in engineering, industrial engineering
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developments) through scenario-based modelling Assess the interactions between gas, electricity, and heat sectors, focusing on operational flexibility, cross-sectoral dependencies, and potential bottlenecks
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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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the field of new AI and HPC methods and evaluate trends in terms of their future potential Actively research current scientific issues related to AI or HPC and publish the results in journals or at top-tier