863 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions in Sweden
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sector, with a documented history of collaboration with forest companies. Knowledge of Deep Learning frameworks applied to forestry. Experience with synthetic data generation. About us The Department of
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found here https://www.maxiv.lu.se/beamlines- accelerators/support-labs/microscopy-labs/ . This is a temporary position from March until October 2026. Qualifications for a successful candidate are: Hold
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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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: https://www.slu.se/en/about-slu/organisation/departments/department-of-wildlife-fish-and-environmental-studies/ For more information about the Aquatic Ecology research group visit: www.slu.se/en/research
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electrochemistry Demonstrated ability to work independently Excellent command of the English language, good communication, and team working skills If not already proficient, be willing and able to learn X-ray
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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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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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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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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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deployments or data collection in real-world environments) Familiarity with current AI technologies (e.g., machine learning, large language models) and an interest in their application to embodied systems. What