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Field
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unsupervised learning. Research Environment & Collaboration The successful candidate will work at the interface of probabilistic machine learning, computational statistics, and biostatistics, developing new
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environment? This is a great opportunity. The position plays an important role in ensuring that we fulfill our societal mission through targeted and efficient use of resources. We are seeking a specialist to
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learning and computer systems. The successful candidate will join an international and collaborative research environment and contribute to advancing efficient AI systems. Are you motivated to take a step
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of advanced AI-based, automated, and intelligent fast-control strategies for voltage control in future distribution grids with high uncertainty and dynamic environments. The project will consider various
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doctoral programme in Technology within three months of starting in the position. (https://www.usn.no/english/research/postgraduate-studies-phd/our-phd-programmes/technology/). The doctoral programme
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and international professional environment Career guidance and follow-up during the PhD period Open and inclusive working environment with committed colleagues Working capital that can be used
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includes relevant courses corresponding to approximately six months of study, a thesis based on independent research, active participation in national and international research environments, relevant
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Master’s degree, you may still apply. Documented fluency in English and be able to work in an international environment. Demonstrated practical experience using any of the satellite remote sensing systems
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of publications and research proposals. Contribute actively to the collaborative research environment of BIOMAT and associated research groups. via Unsplash What skills are important in this role? Mandatory
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the Cortex (https://www.ntnu.edu/kavli/centre-for-algorithms-in-the-cortex) will be funded for 10 years by the Norwegian Research Council. The scientific goal of the Kavli Institute for Systems Neuroscience