80 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at University of Lund in Sweden
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. Demonstrated experience in computational methods, particularly in deep learning and computer vision. Understanding or willingness to learn advanced statistical modeling is a plus Assessment criteria and other
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. Particular emphasis will be placed on research skills within the subject. Additional assessment criteria: Experience in machine learning Experience in image reconstruction, specifically in 3D and 4D
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University and the HT Faculties is right for you here, and learn more about Working in Lund , Moving to Lund and Living in Lund . Qualifications The assessment will primarily be based on your research merits
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of research? Find more reasons why Lund University and the HT Faculties is right for you here , and learn more about Working in Lund , Moving to Lund and Living in Lund . Qualifications The assessment will
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Description of the workplace The Division of Secure and Networked Systems at the Department of Electrical and Information Technology conducts broad research in cryptography, computer security
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thus MLOps (Machine Learning Operations), datacentric AI, and legal and ethical aspects of AI. The empirical research catalyzes industry-academia collaboration and cross-dsicplinary initiatives, in which
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the future of research? Find more reasons why Lund University and the HT Faculties is right for you here, and learn more about Working in Lund , Moving to Lund and Living in Lund . Qualifications
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, where the mentioned division formally belongs to LTH. Research at CMS currently covers areas such as pure mathematics, applied mathematics, mathematical statistics, as well as computer vision and machine
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the Lab. Supporting the research community in building and integrating their equipment to the facility, with focus on keeping people and machines safe. Would you like to work at one of the brightest
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equality and diversity as a strength and an asset. Work duties The work involves field studies and associated computer, greenhouse and laboratory work as part of the POLLCLIM project that focuses