20 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" Fellowship positions at University of Stavanger in Norway
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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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25th March 2026 Languages English Norsk Bokmål English English Postdoctoral Fellow in educational science with a focus on learning and instruction Apply for this job See advertisement Job
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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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economic assessments machine learning or proxy-model based methods field scale simulation geological features geomechanics reactive flow The PhD fellow are not expected to master all these topics. Project
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. In addition, you must have: a solid foundation in energy technology and a strong understanding of artificial intelligence (AI), machine learning (ML), and data-driven modeling documented experience
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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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will acquire. Access to career guidance will be provided throughout the doctoral education. Research topic The PhD Fellow will be affiliated with the subject area of customs and border control. Since
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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