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Description of the offer : The Applied Spintronics Group, University of Gothenburg, Sweden, led by Prof. Johan Åkerman, focuses on magnetodynamic phenomena, spin and orbital torques, nanofabrication
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to retrieve geophysical information from satellite data. Our research drives innovation in instrumentation and retrieval algorithms, and tackle climate change, air pollution, natural hazards, and land/ocean
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system complexity. Your work will include: Developing modular, efficient, and transparent control algorithms. Combining model predictive control with learning-based motion prediction under uncertainty
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strategy and organizational structure of the program in close collaboration with the Scientific Directors Prof. Jan Ellenberg and Prof. Mathias Uhlén. Coordinate and monitor research activities, recruitments
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We are looking for a highly motivated postdoctoral fellow will join the lab of Assoc. Prof. Davide Angeletti (www.angelettilab.com ) at the Department of Microbiology and Immunology
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. There is a standard pathway in the faculty for promotion to Docent (roughly associate prof.) and Professor through demonstrating excellence in teaching and research. Applicants for a position will be ranked
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with machine learning and generative AI algorithms, with working knowledge of deep learning frameworks such as PyTorch or TensorFlow is considered a strong advantage. • Extensive experience in multi
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-October 2025. During the pre-selection, interviews may also be held on-line. Information For more information about the programme and the doctoral studentship, contact prof. Martin Ebers, martin.ebers
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. Familiar with robotic control systems, perception, and kinematics. Comfortable working in Linux environments with tools such as Git. Knowledge of MATLAB for simulations and algorithm prototyping. Basic
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the position, contact Prof. Eva Särndahl, +46 19 30 3684, e-mail: eva.sarndahl@oru.se , Dr. Andi Alijagic, +46 19 30 2342, e-mail: andi.alijagic@oru.se , or Head of Unit Dr. Wessam Melik, +46 19 30 1307