400 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "FORTH" uni jobs in Sweden
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- Chalmers University of Technology
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- Umeå universitet stipendiemodul
- University of Borås
- University of Gothenburg, Department of Education, Communication and Learning
- University of Skövde
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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 and completing at least 30
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international academic institutions and 14 industry partners (https://euraxess.ec.europa.eu/jobs/401249 ). We work together in the field of fluid-structure interaction in technical systems and industrial
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in Lund and be part of CREATE Health and Lund University's Cancer Center . Subject description The project aims to increase the understanding of the biology associated with response to CAR T-cell
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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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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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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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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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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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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