317 machine-learning "https:" "https:" "https:" "https:" "https:" "University of St" Fellowship positions in Norway
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- University of Oslo
- UiT The Arctic University of Norway
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- NTNU Norwegian University of Science and Technology
- OsloMet – Oslo Metropolitan University
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of Researchers Euraxess. Where to apply Website https://academicpositions.com/ad/oslo-metropolitan-university/2025/phd-fellowsh… Requirements Research FieldCommunication sciencesYears of Research Experience1 - 4
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Language requirement: Fluent oral and written communication skills in English English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no
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of partial differential equations (PDE). Examples of models in the scope of the project include particle models, stochastic PDE and models from fluid dynamics and machine learning. What skills are important in
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: https://www.mn.uio.no/ibv/english/people/aca/dirkl/index.html Co-supervisors: Håvard Haugen (Corticalis AS), Susanna Fagerholm (University of Helsinki) Project description The PhD candidate will study
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(UiO). Learn more about working at PROMENTA here: https://www.sv.uio.no/promenta/english/ . Colourbox via Unsplash Colourbox Qualifications Required qualifications A PhD degree in psychology, human
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acquire. Access to career guidance will be provided throughout the doctoral education. Research topic The PhD Fellow will conduct research in industrial economics with a primary focus on the seafood
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prepared that specifies the competencies that the Research Fellow will acquire. Access to career guidance will be provided throughout the doctoral education. Research topic The PhD Fellow will join the
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Machine Learning. We are looking for a motivated candidate, who has interest in both theoretical, methodological and applied research in anomaly detection in sequential data settings, and who is excited
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-working candidate. Main responsibilities Develop and apply machine learning and statistical modeling techniques, including novel AI architectures, for the analysis of complex traits and precision prediction
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optimization. Experience with quality-diversity methods is a plus. • Experience with machine learning and artificial intelligence. • Strong programming skills (e.g., Python, C++), and familiarity with ROS