192 machine-learning "https:" "https:" "https:" "https:" "The Open University" "The Open University" PhD positions in Sweden
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access to preventive care and neighborhood characteristics influence long-term health trajectories. The project applies both econometric and machine learning approaches to identify high-risk groups and to
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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 environmental monitoring Mathematical statistics Description
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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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Sweden’s national environmental objectives. Read more about the department: https://www.slu.se/ekologi Read more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work
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the research and teaching environment at the department, as well as in the everyday activities of the project, including reporting to FORMAS. More information about the project: https://portal.research.lu.se/en
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practices. Read more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work-at-slu/ WIFORCE Research School Do you want to contribute to the future sustainable use
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the business community and international contacts. More information about the department: Department of Applied Animal Science and Welfare Read more about our benefits and what it is like to work at SLU at https
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to national environmental and climate goals as well as to the Sustainable Development Goals. We are situated at Campus Ultuna in Uppsala and in Skara. Read more about the department here (https://www.slu.se/en
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Initiatives in Forest Research (WIFORCE) program. The successful applicant will work on the development of bioacoustic monitoring methods using automated recording units (ARUs), deep learning methods, and
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series data. Large data sets come with significant computational challenges. Tremendous algorithmic progress has been made in machine learning and related areas, but application to dynamic systems is