386 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" uni jobs in Sweden
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advantage Are curious and motivated to learn Contract terms Temporary employment with a start date as soon as possible, ending end of August. What we offer Chalmers provides a cultivating and inspiring
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developing and implementing data management for human data to meet future needs within data-driven Life Science research. More information about NBIS can be found at https://nbis.se . Duties We are looking
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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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Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg | Sweden | about 2 months 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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mathematical analysis, will be placed at the division for Analysis and Mathematics Education (ANDI) - Linköping University . The division also includes the subject area Mathematics Education. Learn more
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agents, not only must the internal learning and reasoning of each agent function effectively, but the interactions between agents, as well as between agents and their environment, must also be safeguarded
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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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, bioinformatics, data science, machine learning, optimisation, numerical methods. Please read more about the position and our department on our dedicated webpage . About the research project We will recruit a
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implementation of biomathematics, biostatistics, spatial modeling, differential equations, Bayesian inference, large-scale computational methods, bioinformatics, data science, machine learning, optimisation
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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