73 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" positions at University of Lund in Sweden
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about working with us Work at Lund University | Lund University Ready to shape the future of research? Find more reasons why Lund University and the HT Faculties is right for you here , and learn more
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Work at Lund University | Lund University Ready to shape 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
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Information Technology conducts broad research in cryptography, computer security, wireless and wired networks. The Security Group has around 20 members. The main research areas are cryptography, privacy, and
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about working with us Work at Lund University | Lund University Ready to shape the future of research? Find more reasons why Lund University and the HT Faculties is right for you here, and learn more
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mathematics, applied mathematics, mathematical statistics, as well as computer vision and machine learning. The department has approximately 150 employees, including 21 full professors and almost 50 senior
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software integration for all equipment within 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
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are united in our efforts to understand, explain and improve our world and the human condition. Work duties The work involves field studies and associated computer, greenhouse and laboratory work as part of
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for machine learning, e.g. PyTorch or TensorFlow. Strong ability in spoken and written Swedish. Assessment of the applicants will primarily be based on scientific merits and potential as researchers. Special
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Information Technology works broadly with research within Cryptography, Computer Security, Wireless, and Fixed Networks. The security group has around 20 members. The main research directions are Cryptography
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factor that strongly modifies turbulence, pressure drop, and heat transfer. Unlike conventional machined roughness, AM roughness is characterized by randomness, porosity, and powder adhesion, producing