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to evaluate and inform digital health interventions for women at increased risk of GDM. The project will primarily utilize data collected from a completed randomized controlled trial (https://bump2babyandme.org
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to evaluate and inform digital health interventions for women at increased risk of GDM. The project will primarily utilize data collected from a completed randomized controlled trial (https://bump2babyandme.org
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of the fellowship is research training leading to the successful completion of a PhD degree. For more information see: http://www.mn.uio.no/english/research/phd/ All candidates and projects will have to undergo a
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the application. Details about the groups may be found using the following links: https://www.mn.uio.no/math/english/research/groups/several-complex-variables/index.html https://www.mn.uio.no/math/english/research
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for Machine Learning (IFI), and the Group for Cognitive Neurophysiology (Medical Faculty). The team has research links with Bradley Voytek at the Halıcıoğlu Data Science Institute (University of California San
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research topics not directly linked to the themes outlined above. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/294734/phd-research-fellow-in-statistics Where to apply
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registries, advanced analytical methods, and clinical trial data to inform regulatory decisions, clinical practice, and public health. Read more about UIO:RWE here: https://www.uio.no/english/research
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ongoing projects (f.e., NORCLI, Force-VOL) in the field of volcanic eruptions, paleo climate and climate history. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/294729
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temperature and pesticides, and recovery from disturbance removal, depends on the populations phenotypic plasticity and/or genetic adaptation. For more information and how to apply: https://www.jobbnorge.no/en
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