846 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" positions in Sweden
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Description of the workplace The position will be placed at the division of Computer Vision and Machine Learning at the Centre for Mathematical Sciences. The Centre for Mathematical Sciences is an
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cutting-edge research, expertise, and competence building in the humanities and social sciences. More information about WASP-HS: https://wasp-hs.org Duties As a postdoctoral fellow, you are primarily
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knowledge and technical interest. Experience and knowledge below are seen as merits: Experience with electronic hardware and understanding safety-compliance rules Knowledge in additive manufacturing Knowledge
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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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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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The applicant will be expected to: develop and lead internationally successful research; develop, lead and participate in teaching at first, second and third cycle level; primarily teach within the subbject, in
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languages, with a clear connection to subject-specific education. For the corresponding advertisement with admission at the University of Gothenburg, please go to: https://web103.reachmee.com/ext/I005/1035
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initiated by a six months trial period. Want to make a difference? Join us and contribute to better health for all Where to apply Website https://ki.varbi.com/en/what:job/jobID:911408/type:job/where:39/apply
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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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Join and help us to derive global forest biomass data from the European Space Agency’s Biomass satellite mission. If you have interests in remote sensing, machine learning and forests, this is the