858 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions in Sweden
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of working with motion capture, eye tracking, machine learning, or other advanced behavioral analyses or related research experiences. A consistently excellent academic track record is required, including
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today and in the future. For more information: http://www.slu.se/en/departments/forest-ecology-management/ Read more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about
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creative and stimulating environment with the opportunity to network with both the business community and international contacts. Read more about our benefits and what it is like to work at SLU at https
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is to advance the understanding of forest ecosystems and how these should be managed today and in the future. For more information: http://www.slu.se/en/departments/forest-ecology-management/ Read more
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must submit certified documents in accordance with SLU guidelines. Read more about SLU’s doctoral education: https://www.slu.se/utbildning/studera/forskarutbildning/ Union Representatives https
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data-driven methods relying on machine learning, artificial intelligence, or other computational techniques. The applicant is expected to develop and apply data-driven and machine learning-based methods
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these are affected by breeding, physical activity, care, production, stress, environmental factors and disease. Please visit the following homepage for more information on the Department: https://www.slu.se/en/about
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to collaborate effectively with colleagues across all levels, both within and outside the organisation Are a self-starter with a passion for learning new technologies Take initiative to solve problems Are creative
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Chemical Biological Centre (https://www.umu.se/en/kbc ) at Umeå University and is affiliated with the national Centre of Excellence – Umeå Centre for Microbial Research (UCMR) (https://www.umu.se/en/ucmr
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through a model-driven approach, i.e. a combination of simulation- and data-driven methods and tools with data analysis and machine learning as an important part. The work builds on established theories and