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an advantage if you have Interest in the mechanical behavior of materials. Experience with machine learning and/or programming/coding. Experience with finite element modeling from civil, mechanical, or marine
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computational models of vision and machine learning methods (for example CNNs, deep generative models, encoding models) is preferred but not required Ability to communicate scientific results clearly through
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30th April 2026 Languages English English Norsk Nynorsk English PhD Research Fellow in Statistics Apply for this job See advertisement UiB - Knowledge that shapes society UiB shall be among Europe's
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Engineering, Mechatronics, Computer Science, etc. Strong background in AI, Vision Language Model, end-to-end autonomous driving, deep learning, computer vision, robotics and automation. Candidates having
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: simulation and risk modelling using advanced statistical and machine learning based methods. strategic portfolio management and dependency structure modelling for financial assets. effects of climate change
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communication skills in English and ability to work in interdisciplinary collaboration and in a diverse research environment. The applicant will work in a team of highly motivated PhD candidates and scientists
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and supporting PhD supervision in areas related to through-life engineering services, smart machines and autonomous systems. This position offers an excellent opportunity to work at the interface
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· Communicate project progress and coordinate with research team Duration: · 3 ½ months Preferred start date as soon as possible but flexible. Basic Qualifications: · PhD or equivalent in engineering, building
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quantum chemistry, experience with machine learning regression methods. Preferred start date as soon as possible but flexible. Basic Qualifications PhD in Physics, Chemistry, Materials Science, Computer
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fields. You will be an integral member of an inter-disciplinary Science of Learning research team in developing brain-based machine-learning predictive models for early identification of mathematical