296 power-system "https:" "https:" "https:" "UCL" "UCL" Postdoctoral research jobs in Sweden
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communication skills in English, both verbally and written, is an absolute necessity. Good inter-personal skills and ability to work in teams but also independently is highly valued. During the AIR2 project
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artificial intelligence, autonomous systems and software for the benefit of Swedish society and industry. Read more: https://wasp-sweden.org/ You will be part of the Robotics and Artificial Intelligence
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The Department of Soil and Environment is advertising a post-doctoral position. We are looking for a candidate with an ambition to take another step in their career as a soil science researcher
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characterization, this position will give you the possibility to collaborate and network with other research groups at Chalmers. Renewable energy systems such as solar and wind power are at the centre of the
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be placed on personal qualities; we are seeking a candidate who is outgoing and flexible with the ability to show initiative, work independently and take responsibility for their own work in a
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14 Mar 2026 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Biological sciences » Biology Biological sciences » Other Computer science » Other Researcher
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Description: Apply 2026/03/24 11:59PM Position Description The Centre for Mathematical Sciences at Lund University is looking for a postdoc to work on a project that aims to investigate certain hyperbolic
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essential of this role. Preferred qualifications A doctoral degree or an equivalent foreign degree, obtained within the last three years prior to the application deadline. You have good pedagogical ability
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Social Robots, which involves several Swedish universities and is funded by WASP-HS (https://wasp-hs.org/ ). The Wallenberg AI, Autonomous Systems and Software Program – Humanity and Society (WASP-HS) is a
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. Teaching skills. Additional assessment criteria: A strong ability to develop and conduct high-quality research independently. Experience using deep learning methods and computer vision with biological data