418 evolution "https:" "https:" "https:" "https:" "https:" "https:" "Newcastle University" research jobs in Norway
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computational work package and develop the pipeline that operationalizes the theory and supports perceptual studies. This includes: contributing to method development on rhythm modeling; performing source
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collaboration with world-leading international collaborators at institutions such as Netherlands Cancer Institute and Karolinska Institutet. For more information and how to apply: https://www.jobbnorge.no/en
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depend on the candidate’s qualifications and CREATE's needs. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/295895/phd-research-fellow-in-social-sciences Where
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for Virtual Coaching Assistant: https://www.jobbnorge.no/en/available-jobs/job/295004/phd-research-fellow-in-ict-multimodal-agentic-ai-for-virtual-coaching-assistant Application deadline: 25.02.26 Where
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for more details: https://ic3.uit.no/news/sediments-analogues-past-ice-streams-landscapes Within this research area, you can pursue the research questions and methodologies that you are most passionate about
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of the interactions between glaciers and oceans, with a focus on the European Arctic. Please read this interview for more details on Pedro’s work: https://ic3.uit.no/news/msca-physical-biochemical-modeling Within
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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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is also a Principal Investigator at the Hylleraas Centre for Quantum Molecular Science, a Norwegian Centre of Excellence dedicated to the development and application of advanced computer simulations
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work especially the real-time interaction among humans and between humans and a remote environment. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/296470/phd
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, and who are eager to contribute to impactful methods for generating private and fair synthetic data with good utility. This project involves development of deep learning based synthetic data generators