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cookie and refresh page to watch video, or click here to open video) About the position This PhD project is connected to FME NorthWind (https://www.northwindresearch.no/ ), a Norwegian national research
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international PEP group (https://www.nmbu.no/en/faculty/kbm/research/groups/pep ), with high professional competence and a pleasant working and social environment. Currently, the group has about 40 members
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supervising student research projects. Applicants should have a background enabling them to teach lower level chemistry courses, such as General Chemistry, Physical Chemistry and Inorganic Chemistry in
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will be integrated into the research activities of the Centre for Research-based Innovation SFI‑CELECT : Industry‑oriented Research Centre for Effective Engineering and Learning in Complex Systems. You
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of future reactor systems with a focus on systems relevant for Norway. The objective is to further develop and validate machine-learning surrogate models derived from high-fidelity multiphysics simulations
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theoretical statistics and data science, and is heavily involved in research at the crossing of statistics and machine learning. Modern vessels produce vast amounts of multivariate data streams. The project
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research in various areas of mobile network systems, multimedia and AR/VR/XR systems, robotics and machine learning, focusing on fundamental aspects as well as on applications in multidisciplinary contexts
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team includes: Prof. Ivan Depina – main supervisor and coordinator, probabilistic modelling, scientific machine learning Prof. Mohamed Hamdy – building performance simulation, building automation
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methods. Knowledge of bioinformatics, DNA-sequence analysis or computational design tools. Experience with high-throughput experimental workflows, automation or design–build–test–learn cycles. Experience
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conditions, changes appear years before clinical diagnosis. Can we learn to extract them reliably? We are looking for a PhD candidate to join the Acoustics group at the Department of Electronic Systems, NTNU