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researchers and PhD students. The research groups conduct research in various areas of mobile network systems, multimedia and AR/VR/XR systems, robotics and machine learning, focusing on fundamental aspects as
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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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to contribute to the wider academic mission of the group, including supervision of MSc student projects and supporting PhD supervision in areas related to through-life engineering services, smart machines and
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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
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20th April 2026 Languages English English Norsk Nynorsk English PhD Research Fellow in Fluid Mechanics Apply for this job See advertisement UiB - Knowledge that shapes society UiB shall be among
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technical support and feedback. Job Requirements: Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team player
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Science of Learning research team in developing brain-based machine-learning predictive models for early identification of mathematical learning difficulties in kindergarten and early primary level students
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, Mathematics (Operations research) or Computer Science or Machine Learning). The master thesis must be included in the application. Documented proficiency in English, please see requirements below. Requirements
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focusing on multi-omic integration analytics, machine learning, and/or AI. In addition to carrying out research, the successful candidate will be expected to apply for fellowship funding, contribute