627 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "University of Waterloo" positions in Norway
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details on Philipp’s work: https://ic3.uit.no/news/polar-marine-ecosystems-msca Within this research area, you can pursue the research questions and methodologies that you are most passionate about – this
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will then integrate those data into climate models. Please read this interview for more details: https://ic3.uit.no/news/postdoc-opportunity-investigate-how-much-carbon-is-stored-beneath-ice-sheets
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broad range of areas, including causal inference and time-to-event analysis, clinical trials, epidemiology, high dimensional statistics, infectious disease, machine learning and mathematical modelling
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research or project activities involving machine learning or data-driven modelling you demonstrate knowledge of energy systems, smart grids, or cyber-physical systems Personal characteristics To complete a
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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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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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/ ). 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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inquiries, please contact hrtkd@oslomet.no Deadline for application: May 4th, 2026 Ref: 26/06383 Where to apply Website https://academicpositions.com/ad/oslo-metropolitan-university/2026/phd-fellow-i
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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