407 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" uni jobs in Sweden
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Field
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networks Scientific programming for simulation, data analysis, and reproducible workflows (e.g., Python/Julia/Matlab/C++) Machine-learning–inspired methods for reservoir/neuromorphic computing and
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) processing, robotic applications (hardware/software), excellent programming skills (including lower-level languages, such as “C”), and experience in neural networks / machine learning. After the qualification
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trajectories relevant to today’s energy systems and questions of societal preparedness. More information: https://www.umu.se/en/research/projects/the-power-of-the-forest-energy-dependency-and-preparedness-in
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, Spanish, Swedish and German. For more information about the department, please visit: https://www.umu.se/en/department-of-language-studies/. We are now looking for an associate professor in cognitive
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years, with the possibility to teach up to 20%, which extends the position up to five years. A starting salary of 34,550 SEK per month (valid from May 25, 2025). Doctoral studies require physical presence
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superconducting circuits. You will work in the stimulating research environment of the Wallenberg Centre for Quantum Technology (WACQT) . The core project of the centre is to build a quantum computer based on
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to apply for this position. Read more about our benefits and what it is like to work at SLU: https://www.slu.se/en/about-slu/work-at-slu/ Location: One of the following: Svartberget Experimental Forest
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contact Linda Johansson; email: linda.johansson.4@gu.se ; telephone: +46(0)766183244. Unions Union representatives at the University of Gothenburg can be found here: https://www.gu.se/om-universitetet/jobba
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valid residence permit before the start date of the studies. The latest possible start date is 26-08-31. More info: https://www.umu.se/globalassets/fristaende-webbar/regelverk/utbildning-pa-forskarniva
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with catalysis/photochemistry Programming skills using Python and MATLAB Analysis of complex scientific data through machine learning What you will do Plan experiments together with your supervisor and