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for 3 years. The project is conducted in close collaboration with the SFF Integreat, The Norwegian Centre for Knowledge-driven Machine Learning (ML) , a centre of excellence funded by RCN and in operation
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Professor Valeria Vitelli. Successful candidates will work on Bayesian models for unsupervised learning when multiple data sources are available, mostly tailored to the case of dynamic sequential inference
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, machine learning, mathematical modelling, causal inference, time-to-event analysis, clinical trials, infectious disease and epidemiology, The centre has numerous collaborations with leading biomedical
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for an academic or research-oriented career in statistics or machine learning Show ability to work in a structured manner and swiftly adapting to new tasks Show good communication and collaboration skills Show a
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, machine learning, mathematical modelling, causal inference, time-to-event analysis, clinical trials, infectious disease and epidemiology, The centre has numerous collaborations with leading biomedical
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the integrated university hospital. Here, interdisciplinary cancer research, advanced imaging, and molecular analysis are brought together in a collaborative and dynamic setting. You will join a strong
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research, innovation and teaching activities in Food Processing, and we are looking for a candidate eager to work on challenges identified in close collaboration with the Norwegian food industry
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Convergence Environment under UiO:Life Science , based at the Natural History Museum, and in collaboration with the Department of Mathematics, the Department of Biosciences and the Department of Philosophy
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informatics. It is expected that all members of the centre contribute to the general activities and collaborations within RITMO. The researchers have access to state-of-the-art facilities in sound/video
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interdisciplinary constellation, with world-leading competence in musicology, psychology and informatics. It is expected that all members of the centre contribute to the general activities and collaborations within