396 machine-learning "https:" "https:" "https:" "https:" "The Open University" uni jobs in Sweden
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own research, to apply for external research funding for yourself and others, and to teach. The position also involves development of courses, teaching and examination on the bachelor’s and master’s
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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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of Industrial Electrical Engineering and Automation, IEA (iea.lth.se) which conducts all research on power electronics, electrical machines and power grids within Lund University. The role will include
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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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and students, will contribute to the development of teaching and the subject area? Welcome to apply to us! We offer you: As an Assistant Professor, you will contribute to a learning environment that
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within the Department of Electrical and Information Technology at Lund University, the Faculty of Engineering, LTH, works broadly with research within Cryptography, Computer Security, Wireless and Fixed
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are inspired by the diversity found in nature and seek to uncover basic mechanisms of how nervous systems function. https://www.nikolaevlab.com/ Work Duties The project assistant will take part in experiments
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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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Senior Lecturer in Architectural design with focus on artistic research in architecture (PA2026/389)
of training in higher education teaching and learning, or acquired equivalent knowledge by other means, unless there are valid reasons. Assessment criteria When assessing the applicants, special importance will
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at Sahlgrenska Academy of relevance include genomics, metagenomics, culturomics, proteomics, transcriptomics, software development, machine learning, and other statistical analyses of large-scale health data