12 learning "https:" "https:" "https:" "https:" "https:" "https:" "Computer Vision Center" positions at OsloMet in Norway
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forskning og utdanning med høy relevans for arbeidslivet, velferdsstaten og storbyregionen. About the position The Department of Built Environment https://www.oslomet.no/en/about/tkd/be at Oslo
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educates students and conducts research that contributes to the sustainability of the Norwegian welfare state and the metropolitan region. About the position The Department of Computer Science at the
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Department of Computer Science offers four bachelor’s degree programmes, a master’s degree programme, and is part of a cross-departmental PhD program. Academic staff at the department are pursuing
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research funding experience in teaching and supervision at the bachelor’s and master’s levels strong digital competence, including experience with online learning and digital assessment tools experience with
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. The Faculty has approximately 4.000 students and 400 staff members and is situated at Pilestredet Campus in downtown Oslo and at Kjeller Campus in Akershus. The Department of Computer Science offers
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is also an advantage. We are looking for an intellectually curious and reliable colleague who is comfortable engaging with research across disciplinary boundaries and learning new areas of scholarship
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and treatment experience from work with omics, big data and statistics, (e.g. using R or similar tools) experience using AI/machine learning for health outcome prediction proficiency in (both written
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and treatment experience from work with omics, big data and statistics, (e.g. using R or similar tools) experience using AI/machine learning for health outcome prediction proficiency in (both written
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knowledge assessments, decision-making processes and the exercise of professional judgement trust in expertise, professions and knowledge institutions learning, expertise development and the organisation
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) machine learning, statistics, mathematics and data science, (ii) law, and social sciences, and (iii) philosophy, the centre establishes a new framework and approach for advancing trustworthy AI and