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Department: Electrical and Electronic Engineering Title: Intelligent Distribution System Operation for Low-Carbon Power Systems Application deadline: All year round Research theme: Power and Energy
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challenging set of design and reliability constraints for the surrounding electrical and thermal systems. A key concern is that the proximity of power converters to electrical machines makes it likely that the
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of Electrical & Computer Engineering (ECE) invites you to apply for a 3-year researcher position (post doc level). Expected start date and duration of employment This is a 3–year position from April 1st 2026
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Your responsibilities: As a University assistant, you will contribute to the work group Machine Learning with Graphs led by Prof. Nils M. Kriege. Our research focuses on the development of new methods
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bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 30.04.2029 Reference no.: 5311 Your responsibilities: As a University assistant, you will contribute to the work group Machine Learning
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This exciting opportunity is based within the Power Electronics and Machines Control Research Institute at Faculty of Engineering which conducts cutting edge research into power electronics
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materials systems at the molecular level with machine learning. The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models
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continuous surgical training for clinical staff, military personnel, and even civilians. Unfortunately, current training methods, such as synthetic models (patches and phantoms), animal models, and virtual
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application! We are looking for a PhD student in Statistics and Machine Learning Your work assignments We are looking for a PhD candidate to work in the intersection of computational statistics and machine
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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