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of the project is to develop knowledge, models, and algorithms for physics‑informed autonomous control of heavy machinery in uneven and deformable terrain. Specific project tasks include fundamental studies
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research in the field of electrical machines and electrical modelling, we are now looking for a Postdoctoral Fellow with ambitions within the academy for a two-year employment. Subject description
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position within a Research Infrastructure? No Offer Description Job description This project focuses on modelling, simulation, and decision support for AI-based penetration testing. A central premise is that
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objective of the project is to develop knowledge, models, and algorithms for physics‑informed autonomous control of heavy machinery in uneven and deformable terrain. Specific project tasks include fundamental
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state-of-the-art experimental models with patient-oriented translational research and strong collaborations across KI, Swedish healthcare, and leading international research environments. We offer a
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theory and concrete tools to design systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and algorithms. Our research integrates expertise
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, modulation classification, sensing, and adaptive spectrum optimization in diverse operational environments. Your work will focus on modeling and algorithmic aspects related to the development of highly
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several cancer research groups represented, including joint seminars and other collaborative activities. The group uses various data sources and modern techniques to improve predictive modelling, including
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studies atmospheric aerosol particles and their impacts on climate and air quality using in-situ and satellite measurements, process modelling, and global modelling. The group is part of the strategic
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detection Domain adaptation Few‑shot learning Graph‑based models Vision transformers and/or diffusion models 2D+time (video) segmentation Qualifications To be eligible for a postdoctoral fellowship, the