600 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "Université de Bordeaux " positions in Norway
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machine learning. Colourbox via Unsplash Colourbox What skills are important in this role? The Faculty of Mathematics and Natural Sciences has a strategic ambition to be among Europe’s leading communities
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architecture. The research focus of this PhD position is the design of performant and energy-efficient Edge Artificial Intelligence (AI) accelerators. Such accelerators may be either tightly integrated with
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event, see details at https://uit.no/arcticmsca/programstructure ). At this event, the candidates will present their past research achievements, discuss future plans with their potential supervisor and
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physical/digital event, see details at https://uit.no/arcticmsca/programstructure ). At this event, the candidates will present their past research achievements, discuss future plans with their potential
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the semantic foundation that enables AI systems to reason more coherently about ship designs, reducing ambiguity in the data available to machine‑learning systems, and supports explainability by grounding AI
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for this position is on campus in Bergen, and full presence is expected. Work tasks: Teaching and supervision, including examination. Shared responsibility for learning resources in accordance with study programs
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year. PROMENTA has more than 50 scientific staff members and was established with funding from the Research Council of Norway and the Department of Psychology at the University of Oslo (UiO). Learn more
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academic environment. The person appointed will primarily teach and supervise students at bachelor's, master's and doctoral levels within the subject area, conduct research and disseminate research results
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-state model will be approximated using machine-learning surrogates and will be used for a real-time optimization, such that the plant operates optimally despite disturbances. The candidate will be part of
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and project-based learning. Secondments, consortium meetings, and workshops will provide hands-on experience in collaborative modelling, scientific synthesis, and science-policy engagement—central to