21 machine-learning-"https:" "https:" "https:" "https:" "https:" "University of St" "St" Fellowship positions at University of Stavanger
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collaborations. We seek applicants with strong analytical skills, background in computational fluid dynamics and/or machine learning, and a genuine interest in advancing reliable scientific machine learning
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numerical models and machine learning tools to predict loads, assess structural responses, and identify damage under extreme conditions. By combining computational simulations with data-driven approaches
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the competencies that the Research Fellow will acquire. Access to career guidance will be provided throughout the doctoral education. Research topic We welcomes applications specialising in several fields
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the competencies the Postdoctoral Fellow is expected to acquire during the employment period. The Postdoctoral Fellow will also have access to career guidance throughout the postdoctoral period. Candidate A: One
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BMDLab at University of Stavanger and the research group for Anesthesiology at Norwegian University of Science and Technology and St. Olav University Hospital in Trondheim. The theme for this PhD project
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position as Postdoctoral Fellow in law at the UiS School of Business and Law, Department of Accounting and Law. The Postdoctoral Fellow will be affiliated with the research project AUTO-MARE – Autonomous
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resilience of bridges under climate change-induced hazards such as flooding, scour, and debris impacts. The research aims to develop advanced numerical models and machine learning tools to predict loads
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to: compositional multiphase reservoir simulation upscaling or screening methodologies optimization of well positions and control strategies economic assessments machine learning or proxy-model based methods field
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towards the public healthcare system, and the potential consequences for health inequality and health policy conflicts. Through the project, you will acquire practical skills in survey methods and
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acquire. Access to career guidance will be provided throughout the doctoral education. Research topic The PhD Fellow will be affiliated with the research group FLUENT (FLerspråklig Utvikling og Endring i