45 machine-learning "https:" "https:" "https:" "https:" "https:" Fellowship positions in Norway
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biophysically interpretable machine learning model that integrates diverse biological data—including transcription factor (TF)–DNA interactions, epigenetic features, and three-dimensional (3D) genome organization
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, diffraction tomography or quantitative phase microscopy systems, Machine learning or AI-assisted analysis of microscopy or other high-dimensional imaging datasets, Image reconstruction and computational
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Machine Learning and Statistics Apply for this job See advertisement About the position Integreat - the Norwegian Centre for Knowledge-driven Machine Learning at the University of Oslo invites applications
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physics. The department hosts active research groups in areas such as software engineering, artificial intelligence, robotics, human-computer interaction and sensor networks, and collaborates closely with
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warmer and wetter world. RAPTURE brings together high resolution physical simulations, machine-learning climate emulators, and new perspectives on the dynamics of weather and climate to understand i) what
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applications for a PhD Research Fellow position in fairness in artificial intelligence, available at the Department of Informatics, in the Scientific Computing and Machine Learning (SCML) research group
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technology management, or smart grids. Experience in development of mathematical meta-models, control strategies, optimization methods and algorithms, data analysis and machine learning techniques, techno
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a new computational paradigm that combines the versatility of the digital computer with the efficiency of close-to-physics computing. The group targets the full computational stack, from materials
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/Anders Lien 9th September 2026 Languages English English English PhD Research Fellow in Machine Learning for Cognitive Neuroscience Apply for this job See advertisement About the position Position as PhD
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with programming in Python is a requirement Experience with telecentric particle imagers, image analysis, and machine learning for particle recognition is an advantage Experience of working with wave