576 machine-learning "https:" "https:" "https:" "https:" "https:" "The University of Edinburgh" positions in Norway
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SFI FAST: PhD position in Microstructure/texture evolution during extrusion of scrap-based Aluminium
(as machine learning techniques, etc.). Personal characteristics In the evaluation of which candidate is best qualified for the PhD position, emphasis will be placed on education, experience and
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, the Hospital Pharmacies Enterprise in South-Eastern Norway and the Medicines Optimization Innovation Centre, Nord-Irland. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job
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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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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The successful candidate will primarily teach and supervise students in the department’s
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scheduling and maintenance, and the application of control and safety procedures and protocols. The successful candidate will also be required to teach fundamental fluid mechanics courses that are held in
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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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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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methanol and their subsequent coupling into larger hydrocarbon molecules. For more information and how to apply: Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/294613/phd-research
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to team-working and personal skills. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/292642/postdoctoral-fellow-in-molecular-cell-biology Where to apply Website https
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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