576 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" positions in Norway
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with the SFF Integreat, The Norwegian Centre for Knowledge-driven Machine Learning (ML) , a centre of excellence funded by RCN and in operation until 2033. The research group on statistical models
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at the interface of machine learning and biostatistics, developing new theory, algorithms, and scalable implementations. By establishing a new class of multi-frame factorization methods, the candidate will
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to machine learning. This PhD provides a unique opportunity to shape emerging concepts in Artificial Intelligence Informed Mechanics (AIIM), combining fundamental research with methodological innovation. You
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of Oslo that spans molecular, cellular, and systems-level approaches. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/295465/postdoctoral-research-fellowship-in
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seeking a PhD candidate in computer architecture. The research focus of this PhD position is the design of performant and energy-efficient Edge Artificial Intelligence (AI) accelerators. Such accelerators
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/ ). By combining advanced machine learning techniques with qualitative methods, the project will investigate usage patterns and engagement levels with a health app across multiple European countries
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demonstration of a methodology for building and integrating machine learning solutions for past technical artefacts. Contributing to the development of holistic view of product lifecycle, its digital artefacts
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/ ). By combining advanced machine learning techniques with qualitative methods, the project will investigate usage patterns and engagement levels with a health app across multiple European countries
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cell states. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/295327/researcher-position-in-functional-genomics-and-cancer-research Where to apply Website https
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for Global Sustainability. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/294034/phd-research-fellow-in-statistical-population-ecology Where to apply Website https