392 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" uni jobs in Sweden
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- University of Gothenburg, Department of Education, Communication and Learning
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or data science, with suitable specialization, in medical physics with a sufficient portion of mathematics included, or other related scientific areas. You have good skills in computer programming. A strong
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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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, 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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the world. More information about the Department can be found here: http://www.pcr.uu.se . We are seeking an internationally recognized scholar who is interested to contribute to further developing
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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
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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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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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computational methodologies, ranging from atomistic and electronic-structure–based materials modeling and characterization, via machine-learning and high-throughput methods, to ab initio calculation
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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