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Field
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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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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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to the table You have a master's degree (technical college, technical university, university) in mechanical engineering, materials engineering, materials science, physics, electrical engineering, computer
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(e.g., in laboratory courses, exercises, or supervision of student theses). Teaching duties: 4 SWS Your profile: Very good university degree (M.Sc. or equivalent) in electrical engineering or
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to the table You have a master's degree (technical college, technical university, university) in mechanical engineering, physics, computer science, electrical engineering, materials engineering, materials
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electrical or mechanical engineering Strong mathematical skills Experience in modelling energy systems Very good knowledge and experience in programming (e.g. Python, Matlab, C, C++) Fluent in written and
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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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Quantum Systems (PhoQS), experts from the fields of physics, computer science, mathematics, electrical engineering and information technology conduct joint research on integrated photonic quantum
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Quantum Systems (PhoQS), experts from the fields of physics, computer science, mathematics, electrical engineering and information technology conduct joint research on integrated photonic quantum
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well as investigating and tailoring the interaction of ultrasound in tissues and with engineered microstructures such as antibubbles . Ideal candidates will have a background in physics or mechanical/electrical