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experience with collaborative work, will also be taken into consideration. The hiring process will include an interview with the most qualified candidates. We offer Salary NOK 551 000-594 000 per year for PhD
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8 Sep 2025 Job Information Organisation/Company University of Bergen Department Geophysical Institute Research Field Engineering » Computer engineering Physics » Metrology Physics Researcher Profile
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for plausible narratives of regional climate change, novel algorithms for rare event sampling or ensemble boosting, and the development and use of hybrid climate models combining physics-based and ML components
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personal career support equal opportunities For more information see the LEAD AI webpage or send an email to leadai@uib.no Qualifications and personal qualities: Applicants must hold a PhD degree according
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Professional qualifications (required) Relevant PhD degree (e.g. computer science, machine learning, statistics) Experience in developing deep learning models for 3D point cloud data Strong programming skills
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For more information see the LEAD AI webpage or send an email to leadai@uib.no Qualifications and personal qualities: Applicants must hold a PhD degree according to Norwegian standards. A strong preference
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Qualifications and personal qualities: Applicants must hold a PhD degree according to Norwegian standards. A strong preference is for applicants with a background in experimental psychology or HCI, but other
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universities to address key technological needs for the energy sector. Our approach is to better understand complex physical processes and build knowledge and technology through advanced software solutions
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project. Who we are looking for: Essential criteria (experience and qualifications): A PhD in Anthropology and/or Archaeology or a closely related field Experience in and willingness to conduct long-term
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for plausible narratives of regional climate change, novel algorithms for rare event sampling or ensemble boosting, and the development and use of hybrid climate models combining physics-based and ML components