954 machine-learning-"https:" "https:" "https:" "https:" "https:" "University of St" "St" positions in Sweden
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it´s like to work and live in Sweden. Where to apply Website https://uu.varbi.com/en/what:job/jobID:914661/type:job/where:39/apply:1 Requirements Additional Information Work Location(s) Number
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, etc.)” Welcome to apply! Where to apply Website https://lu.varbi.com/en/what:job/jobID:914757/type:job/where:39/apply:1 Requirements Research FieldTechnologyEducation LevelPhD or equivalent Research
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strong communication skills and the ability to collaborate effectively with colleagues across all levels, both within and outside the organisation Are a self-starter with a passion for learning new
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, https://avengers-project.eu) and IM4CA (https://im4ca.eu). Work duties The main duties involved in a post-doctoral posistion is to conduct research. Teaching may also be included, but up to no more than
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more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work-at-slu/ Development of statistical methods for estimating plant population size and change Mathematical
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and administrative staff. For more information about the department visit: www.slu.se/aquatic-sciences Read more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu
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at https://www.slu.se/en/about-slu/work-at-slu/ Description: We are looking for a PhD to focus on separation of fat and proteins from dairy side streams and plant-based extracts. The project is a
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the Arctic, experimental tests of climate driven changes in carbon export from land and turnover and release of greenhouse gases (CO2 and CH4 ) from headwaters, and use of machine learning and process-based
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well as in urban areas. See also: https://www.slu.se/en/about-slu/organisation/departments/ecology/ About the position The researcher will work in the field (in southern Sweden), with statistical analyses, and
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complex behavior under demanding operating conditions presents a significant modeling challenge. This project addresses that challenge by combining machine learning with constitutive modeling, while