29 electrical-machine-design-"https:"-"https:"-"https:"-"https:"-"UCL" Postdoctoral positions in Sweden
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Do you want to contribute to the future of AI-driven electric transport systems? Join our research group to develop advanced machine learning methods for electromobility, focusing on energy-aware
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Computer Science, or another subject of relevance for the project. Documented knowledge and proven research experience in the area of designing algorithms and methods for data privacy and machine learning is
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pilot testing of experimental designs, measurement methods and study protocols. Conducting visual tests and computer-based tasks under different lighting conditions. Collecting and analysing subjective
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model developments, preparing and analysing observational datasets, designing experimental protocols, carrying out the related simulations and analysis, and leading writing of peer-reviewed papers based
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could develop the algorithms, models and software that: design and simulate self-assembling DNA nanostructures and molecular machines; turn artificial molecular networks into images — reconstructing where
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, incident response, or post-incident analysis; have experience in human-computer interaction, human-centered AI, explainable AI, or user-centered design; have experience designing, conducting, and analysing
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multidisciplinary collaboration among artistic and technical design, textile technology, and management. Welcome to the Faculty of Textiles, Engineering and Business! About the Research Project We are now seeking a
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perspectives on norm-critical pedagogy, safety, inclusion, and educational practices are also welcome. The research project must be described in a research plan attached to the application. As a postdoctoral
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tasks will include testing newly designed primer sets on samples derived from a range of tissues and substrates and extracting DNA from these diverse substrates as needed. An important goal of Rapid
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, such as graphene-like materials, has brought a fresh stimulus for spintronics. This project aims to understand, observe, and realize novel charge, spin, and orbital phenomena using thin film