158 phd-studenship-in-computer-vision-and-machine-learning Fellowship positions in Norway
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, and AI chatbot chats; (b) quantitative content analysis; (c)text mining and machine learning methods; (d) survey design and public opinion research; (e) election studies; (f) the Norwegian political
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throughout the postdoctoral program and together with you we will prepare a career plan, which containsthe skills and knowledge you will acquire Open and inclusive working environment with committed colleagues
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perspectives. FemArc is a central activity in ConGender, focused on work in progress, and recruits beyond ConGender. The teaching consists of a one-year programme at BA level and two PhD courses. The one-year
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description UiB - Knowledge that shapes
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learning experts across Integreat research themes. More about the position Machine learning is the mathematical and computational engine of Artificial Intelligence (AI). It is a fundamental force of
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mechanisms. The postdoctoral fellow will take the lead on this endeavor, in collaboration with a PhD fellow focusing on brain function and health. PlastBrain is a collaboration between the Department
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mathematical modelling tools. Excellent knowledge of programming languages such as R, Python, Julia, etc. Familiarity with AI algorithms and Machine Learning Fluent oral and written communication skills in
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environment Career guidance throughout the postdoctoral program and together with you we will prepare a career plan, which containsthe skills and knowledge you will acquire Open and inclusive working
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Norwegian PhD or an equivalent degree within computer science, systems engineering, cybernetics, applied mathematics or another relevant degree at the same level, and applicants must also have a
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. The HDL and SPKI research groups are part of the Centre of Research-based Innovation SFI Visual Intelligence that is a center-of excellence in machine learning research. The research groups are also active