388 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "FORTH" research jobs in Norway
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PhDs, that together will work and learn as an international cohort and collaborate across projects to bring together insights anchored in different sectors and countries. The candidates will conduct
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present at and accessible to the institution on a regular basis. Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/293468/researcher-in-modern-econ… Requirements Research FieldHistory
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this here: https://arbeidsgiver.difi.no/positivsaerbehandling. We encourage applicants to tick in Jobbnorge if they have a disability, a gap in their CV or immigrant background. The ticks in
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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#toc8 Grade
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, and public health. Read more about UIO:RWE here: https://www.uio.no/english/research/strategic-research-areas/life-science/research/convergence-environments/uiorwe About the project This postdoctoral
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for the project: DC4 - The role of invasin-integrin interactions in Klebsiella and Enterobacter infections Supervisor Dirk Linke: https://www.mn.uio.no/ibv/english/people/aca/dirkl/index.html Co-supervisors: Håvard
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Magnets for New Energy and MObility Applications“ funded by the European Union (ERC, MagNEO, 10522110, https://magneoproject.eu/ ). The project aims to develop new alloy material for permanent magnets
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the National Insurance Scheme which also include health care services . More practical information for working and living in Norway can be found here: https://uit.no/staffmobility Application Please note that
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of Singapore). The goal of RESPIRE is to develop Machine Learning (ML) solutions for sleep-related disorders of infants and patients with chronic obstructive pulmonary disease that receive mechanical ventilation
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. Demonstrated experience applying machine learning and AI-based approaches to empirical disease, ecological, or biological datasets, with an emphasis on pattern identification, prediction, or spatial risk mapping