53 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" uni jobs at University of Lund in Sweden
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, econometrics, applied microeconomics, and macroeconomics. For more information, please visit: https://www.lusem.lu.se/organisation/department-economics/research Job Assignments The holders of these positions
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projects. More information about the doctoral programme is available on the department’s website: (https://www.iko.lu.se/en/research/doctoral-studies). Eligibility General eligibility for third-cycle
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background and interest in soil microbial ecology, ecosystem ecology and biogeochemistry. You will be part of the Microbial Biogeochemistry in Lund (MBLU) research environment (https://portal.research.lu.se/en
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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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, 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
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Security, Wireless, and Fixed Networks. The security group has around 20 members. The main research directions are Cryptography, Privacy and System Security for Connected Systems. We are now looking for a
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test multi applications. Within this project we will design a ultrabroadband and a high spectral resolution hyperspectral lidar. The development is done by raytracing, Computer Aided Design and 3D
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new diagnostic and prognostication markers and targets for novel therapy. Learn more here: Division of Clinical Genetics The research primarily focuses on understanding the biology of infant leukemia