915 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "U.S" positions in Sweden
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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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, the University contributes to a better future. The Department of Marine Sciences, University of Gothenburg, (https://www.gu.se/en/marina-vetenskaper ) combines extensive scientific competence with unique
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Project description Third-cycle subject: Technology and learning Teacher
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at Lake Kvismaren, Närke, involving daily observations of all breeding GRW, collect blood samples and data of breeding performance. The project gives excellent opportunity to learn DNA techniques
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. Doctoral studies end with a thesis and a 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
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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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equipment used by multiple researchers (e.g., DNA and RNA extraction rooms, PCR machines, instruments to measure concentration and integrity of nucleic acids, and knowledge of best practices for down-stream
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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