380 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" uni jobs in Sweden
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generative machine learning models to create an active learning cycle to identify materials with adequate properties. Promising materials will be synthesized, characterized and evaluated in lab. This will help
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well as online data collection (experiments, surveys). Expertise in advanced machine learning techniques and large language models (LLMs) —including web scraping, text mining, and neural networks—is considered a
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University of Gothenburg can be found on the university's doctoral student pages https://www.gu.se/en/doctoral-studies Duties Doctoral education in Medical Science comprises carrying out a scientific project
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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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veterinary nurses, ensure that the flow through the surgery department is efficient and safe for the patients, supervise and teach students as well as residents and junior veterinarians. You aim to get
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doctoral degree. More about being a doctoral student at LTH on lth.se. https://www.lth.se/english/study-at-lth/phd-studies/ Subject and project description ELLIIT (https://elliit.se ) is a strategic research
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Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg | Sweden | about 1 month ago
on the university's doctoral student pages https://www.gu.se/en/doctoral-studies Duties Doctoral education in Medical Science comprises carrying out a scientific project and completing at least 30 credits of courses
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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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description Veterinary bacteriology includes how pathogenic bacteria function, acquire new properties and spread in sport, companion and food animals (horse, dog, cat, cattle, goat, sheep, pig, poultry and
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population history, disability history, gender history, history of emotions, military history, political history, Sami history, social history and history of education, spanning from early-modern times