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the research group (e.g., research meetings, seminars, social activities) and participate in relevant research activities and interdisciplinary interactions at department or university level. Develop a solid
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, reliability, stability, control, and degradation mechanisms in integrated electrical energy and conversion systems. The position is designed to strengthen our research platform through complementary
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the Machine Learning, Artificial Intelligence, or Robotics, reflected through contributions to major conferences (ICLR, IEEE ICRA, NeurIPS, ICML, CVPR, ECCV, SIGGRAPH, ICCV, etc.) Solid mathematical and
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is clearly connected to Deep Learning and Computer Vision, and you can demonstrate experience with semantic segmentation, object detection, and generative AI models. You have solid skills in
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dermato-epidemiological research and you possess documented solid research and teaching qualifications at a high international level. You have broad international cooperative partnerships and experience
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excited about the intersection of machine learning, AI security, and real-world deployment. The ideal candidate has experience or interest in one or several of the following: A solid foundation in
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applications addressing societal challenges and have a solid publication record in recognized venues and the ability to work across methods and disciplines. The ideal candidate has a proven track record in
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about urban and regional development, housing and neighbourhood change and the effects of public interventions. You have a solid skills in advanced quantitative methods, including causal analysis
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categorical framework. Candidate Profile We are looking for a highly motivated candidate within the fields of mathematics or mathematical physics. The successful candidate will have a solid background in
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, 2026 or as soon as possible thereafter. Your work tasks We are seeking applicants with a dedicated research agenda within the field of Economics of Innovation and Entrepreneurship and solid educational