32 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" research jobs at University of Bergen
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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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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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Claireaux tells about life and work as a PhD candidate at UiB. Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/293286/phd-research-fellow-in-ma… Requirements Research FieldGeosciences
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Website https://www.jobbnorge.no/en/available-jobs/job/292474/researcher-at-the-departm… Requirements Research FieldBiological sciences » BiologyEducation LevelPhD or equivalent Research FieldBiological
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the positions 9January 2025 at 1300hrs (CET). Participate at: https://uib.zoom.us/j/61299250235?pwd=juIK05VKliZr5otp49EVfRz8YkQ2xx.1 Project Description: The project description should place the project in a
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. Further information about the PhD program at KMD can be found here . The department will host an online orientation meeting for the position 8 January 2025 at 12.00 hrs (CET). Participate at: https
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will host an online orientation meeting for the position 8 January 2026 at 14.00 hrs (CET). Participate at: https://uib.zoom.us/j/62281498137?pwd=Qakqii2iD8DxRLgrArHcugDrNKyEbW.1 Project proposal
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be developed specifying the competencies that the research fellow is expected to acquire. The institution is responsible for ensuring that the career plan is followed up and that the research fellow
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, geometric deep learning. Considered an advantage: experience in programming or course work in computer science, algebra, topology or differential geometry, knowledge of topological data analysis or machine