609 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" positions in Norway
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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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hypotheses related to metabolic rate increases, energy allocation shifts, temperature-dependent bioaccumulation, and varying toxicity across biological levels. For more information and how to apply: https
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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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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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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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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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PhD Research Fellow in Theoretical and Computational Active Matter Physics for Glioblastoma Invasion
communication skills in English English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html
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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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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