43 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions at University of Bergen
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promise and peril of hybrid intelligence—humans and machines working and learning together. Our mission is to establish an internationally leading interdisciplinary hub that advances foundational research
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Norwegian master’s degree. Please see https://hkdir.no/en/ for more information about HK-dir’s general recognition. The review process by HK-dir may take some time. Therefore, please submit your application
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Master’s degree. Please see https://hkdir.no/en for more information. The approval process will take some time and we recommend you to contact HK - dir as soon as you decide to apply for the position
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models with drone imagery using machine learning techniques and data assimilation. The work will involve collaboration with an interdisciplinary team of researchers, engineers, and local stakeholders in a
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understanding of how acoustic waves are generated and transmitted in wells. The LeDAS project aims to overcome these challenges by combining physical modelling, advanced signal processing, and machine learning in
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as a PhD candidate at UiB. Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/295159/phd-research-fellow-in-ph… Requirements Research FieldPhysicsEducation LevelMaster Degree
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Qualifications and personal qualities: Applicants must have a PhD in sociology. Applicants must have experience and expertise in qualitative methods and be able to teach qualitative methods at both undergraduate
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, Haukeland, Marineholmen, Møllendalsveien and Årstad. There are four departments and four centres at Faculty of Humanities. Read more about the faculty and departments. Where to apply Website https
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implement new nonlinear iterative solvers, with the goal of exploiting models of various complexity, ranging from high-performance computing, via reduced-order models to data-driven (machine-learned
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Physiology, Internal Medicine Secondments : - University of Bergen (N): To screen and characterise patients with PAI. - University of Manchester (UK): To learn mathematical modelling of hormone rhythms