45 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" uni jobs at University of Lund in Sweden
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on lth.se. https://www.lth.se/english/study-at-lth/phd-studies/ Subject and project description ELLIIT (https://elliit.se) is a strategic research environment funded by the Swedish government in 2010, as part
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in at least two of the following areas (or similar): Wireless Communication Systems, Internet Systems and Computer Networks, Robotics, Machine Learning and AI, Automatic Control, or Mathematical
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Professor Emma Ahlqvist and consists of research and technical staff. The group is located at CRC, Malmo. Here you can read more about our exciting research: https://www.ludc.lu.se/research/genetics-and
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and software Experience in developing technical documentation, safety procedures, and audit reports Experience with automation technology Experience with machine safety and/or process safety systems
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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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opportunity to take on a diverse and high-impact role within a growing and dynamic research environment. For more information: https://www.nano.lu.se/facilities/lund-nano-lab We offer In this position, you will
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conferences, as well as opportunities to participate in pioneering interdisciplinary projects. More information about the doctoral programme is available on the department’s website: (https://www.iko.lu.se/en
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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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that are commonly used today. Using the improved noise models, machine learning methods will be used to enhance the segmentation of EEG data into auditory signal and background activity allowing for refined control
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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