106 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:" Fellowship positions in Norway
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- University of Oslo
- NTNU - Norwegian University of Science and Technology
- University of Stavanger
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- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- UiT The Arctic University of Norway
- CICERO Center for International Climate Research
- CMI - Chr. Michelsen Institute
- University of South-Eastern Norway
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public defence are eligible for appointment Strong programming and artificial intelligence/machine learning skills Interest in creative or artistic applications. Documentary evidence would be beneficial
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investigate the possibility of using microbial biosignatures to identify sites with past and current hydrocarbon leakage by developing new machine learning models in collaboration with the research group
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, corporations and the international order; on the development of political and military strategy; on how the wars were prepared, experienced and remembered; and on how peace was made. BLOCKADE sets out to prove
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conducting quantitative analyses or master game theoretic analysis. Experience with large language models, machine learning, and/or programming in R or equivalent programs is an advantage but not a requirement
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for Catalysis and Organic Chemistry at the Department of Chemistry. The group has extensive experience in computational modelling, reaction mechanisms, and machine learning for catalyst design and discovery. Nova
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quantitative analyses or master game theoretic analysis. Experience with large language models, machine learning, and/or programming in R or equivalent programs is an advantage but not a requirement. Alongside
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/machine learning skills The candidate’s research proposal must be closely connected to the call and the research of NCEI Excellent skills in written and oral English Personal suitability and motivation
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of Oslo that spans molecular, cellular, and systems-level approaches. Starting date not earlier than 1 July 2026. Qualification requirements A PhD degree within neuroscience, psychology, medicine, machine
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analytical approaches, including machine learning and statistical modeling. It has two main objectives: Develop a cognitive task for assessing neurophysiological processes involved in declarative memory
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exam before 15.06.2026. It is a condition of employment that the master's degree has been awarded. Background in optimization is required. Experience in machine learning is an advantage. Familiarity with