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more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/306376/phd-research-fellow-in-machine-learning-for-cognitive-neuroscience Where to apply Website https://www.jobbnorge.no
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Higher Education and Skills (HK-Dir), the EU, and others. Responsibilities Project Description In this position, you will explore how learning-based control (data-driven control), machine learning
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Higher Education and Skills (HK-Dir), the EU, and others. Responsibilities Project Description In this position, you will explore how learning-based control (data-driven control), machine learning
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flooding in an ever 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
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NTNU Norwegian University of Science and Technology | Trondheim, Sor-Trondelag | Norway | 2 months ago
, such as Learning Analytics, Learning Technologies, Artificial Intelligence and Machine Learning, Interaction Design, with Human–AI Interaction as a central focus. If you are in the final phase of your
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NTNU Norwegian University of Science and Technology | Trondheim, Sor-Trondelag | Norway | 9 days ago
oriented. By deploying electrochemical techniques under non-reversible thermodynamic considerations and alongside numerical and machine learning analysis methods, this work will advance a high-level
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glycobiology good understanding of sepsis pathogenesis 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
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NTNU Norwegian University of Science and Technology | Trondheim, Sor-Trondelag | Norway | about 1 month ago
controlled environmental conditions. The system integrates robotics, automated sample handling, sensor networks, imaging systems, cloud computing, and machine-learning-based analytics. The research work at
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/C++ or similar is required. Experience with machine learning, analysis of climate or high-resolution model output, climate predictions/projections or environmental risk assessment is an advantage
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, e.g., SCADA systems, autonomous systems. Experience in electric power engineering (elkraft). Experience in cybersecurity incident management. Experience in machine learning/artificial intelligence