193 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" Fellowship positions in Norway
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cameras, heart rate monitors, and dedicated activity trackers for data collection and employ relevant machine learning methods for data analysis and sensor fusion. The PhD Research Fellow will collaborate
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doctoral degree in cryptography or a related area. Good oral and written presentation skills in English. The ability to teach courses at the department (https://wiki.math.ntnu.no/emner ). PLEASE NOTE: For
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of Norway. The position is affiliated with the Center for Language, Brain & Learning (C-LaBL), more specifically the Brain domain. C-LaBL is financed by the Trond Mohn Foundation 2024-2029. The position is a
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, and the military. Both quantitative and qualitative approaches would be relevant, and comparative approaches (cross-sector, cross-institutional, cross-national, or other) are welcome, but not required
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Are you ready to take your research career to the next level? The Biopolymer NMR Group (https://folk.ntnu.no/aachmann/ ) is looking for a candidate to be hired for a least three-year postdoctoral position
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the competencies the Postdoctoral Fellow is expected to acquire during the employment period. The Postdoctoral Fellow will also have access to career guidance throughout the postdoctoral period. Candidate A: One
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economic assessments machine learning or proxy-model based methods field scale simulation geological features geomechanics reactive flow The PhD fellow are not expected to master all these topics. Project
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Sociology » Sociology of labour Sociology » Sociology of religion Sociology » Urban sociology Sociology » Other Educational sciences » Education Educational sciences » Learning studies Educational sciences
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. In addition, you must have: a solid foundation in energy technology and a strong understanding of artificial intelligence (AI), machine learning (ML), and data-driven modeling documented experience
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Postdoctoral Fellow in Anthropology: Meat, Infrastructure, and Zoonotic Risk on Chinas Belt and Road
living in Norway can be found here: https://uit.no/staffmobility Application Please note that the application will only be assessed based on the information submitted by the application deadline via