878 machine-learning "https:" "https:" "https:" "https:" "U.S" "U.S" positions in Sweden
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of Applied Animal Science and Welfare Read more about our benefits and working at SLU by visiting: https://www.slu.se/en/about-slu/work-at-slu/ Location: Uppsala Form of employment: Temporary employment 24
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information about the department visit: www.slu.se/aquatic-sciences Read more about our benefits and working at SLU by visiting: https://www.slu.se/en/about-slu/work-at-slu/ Location: Uppsala Form of employment
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the start. The position is a fixed-term appointment of four years, with the possibility to teach up to 20%, which extends the position up to five years. A starting salary of 34,550 SEK per month (valid from
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covers areas such as pure mathematics, applied mathematics, mathematical statistics, as well as computer vision and machine learning. The department has approximately 150 employees, including 21 full
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over SEK 2.3 billion. We have more than 1,800 employees and nearly 21,600 students. We are looking for a Postdoctoral Researcher in Robotics and Artificial Intelligence (RAI) (https
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your application: A doctoral degree in automatic control, electrical engineering, computational materials science or related. Research experience in battery tests, machine learning, data-driven
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modeling, machine learning, and AI techniques applied to biomedical data is a plus. Clinical Proteomics: Experience with clinical trial data, real-world evidence (RWE), and biomarker-driven trial designs is
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, course administration, and supervision of doctoral students, in both Swedish and English. If you are not initially able to teach in Swedish, Swedish language training aimed at achieving this competence
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at Campus Ultuna in Uppsala and in Skara. Read more about the department here (https://www.slu.se/en/departments/soil-environment/ ). Read more about our benefits and working at SLU by visiting: https
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evolution across different genomic regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods and statistical analysis (https://cgrlab.github.io