313 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "University of St" "St" "St" Fellowship research jobs in Norway
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- University of Oslo
- University of Bergen
- UiT The Arctic University of Norway
- NTNU - Norwegian University of Science and Technology
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- University of South-Eastern Norway
- NTNU Norwegian University of Science and Technology
- University of Inland Norway
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- CMI - Chr. Michelsen Institute
- Høgskulen i Volda
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- NORCE Norwegian Research Centre
- Nord University
- Norwegian Institute of Bioeconomy Research
- Simula Research Laboratory
- Simula UiB
- The Norwegian Polar Institute
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credentials. Required qualifications: Master’s degree or equivalent in mathematics, physics, control, cybernetics, computer engineering, automation, or related fields. Foreign completed degree (M.Sc.-level
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recently funded centre of excellence (Integreat). Integreat collects scientists from statistics and computer science and offers a flourishing machine learning community, including many PhDs and PostDocs
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of the post. Candidates without a master’s degree have until 1st of July 2026 to complete the final exam. Strong programming and artificial intelligence/machine learning skills. The candidate’s research
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educational system. Strong background in molecular modeling, molecular dynamics simulations, or computer-aided drug design. Proven record of programming language through publicly available Github/Gitlab
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dynamics simulations, or computer-aided drug design. Proven record of programming language through publicly available Github/Gitlab or similar repositories. Experience in the cell biology lab Fluent oral and
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kind of machine learning algorithm, provides more accurate data than traditional data collection methods, e.g. paper-based surveys. This data is valuable to several stakeholders: i) architects and urban
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about working and 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
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. Further information about the research groups can be found at: https://www.mn.uio.no/math/english/research/groups/algebra/index.html https://www.mn.uio.no/math/english/research/groups/geometry-topology
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. The project will collaborate closely with, and utilize existing linked data from, Regforsk at NTNU (https://www.ntnu.no/ism/forskning/regforsk#/view/publications). Deakin University in Melbourne, Australia is
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laboratory analytical methods (e.g., chromatography, mass spectrometry). Familiarity with AI or machine learning applications relevant to environmental data analysis. Basic knowledge of GIS/mapping tools