915 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions in Sweden
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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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teaching department situated within the Umeå University campus. The department has approximately 160 staff members, of which 30 are PhD students. For more information, visit https://www.umu.se/en/department
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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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manufacturing. It is meritorious to have previous experience in data analysis and processing with Python (or similar), preferably including documented experience with machine learning tools. It is meritorious
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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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. The department conducts undergraduate education and research in political science and peace and conflict studies. For more information, see https://www.umu.se/en/department-of-political-science/ . General
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to illness, parental leave, appointments of trust in trade union organizations, military service, or similar circumstances, or other forms of appointment/assignment relevant to the subject area. Application A
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that support the unit for area protection and marine spatial planning, as well as operations at SLU Aqua. Your profile You have documented expertise in marine ecology and computer vision and machine learning
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Plant Science Centre (UPSC, https://www.upsc.se ) which is a centre of excellence for experimental plant research and forest biotechnology in Northern Sweden. Our mission is to perform excellent and
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advanced level (higher education) in the research subject or equivalent competence. Experience with deep learning and machine learning tooling.· In-depth knowledge of LLMs and Transformer architectures