299 machine-learning-"https:" "https:" "https:" "https:" "https:" "University of St" "St" positions at University of Oslo
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relevant for the position is essential. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/297393/associate-professor-sko1011in-leadership-and-chaplaincy-in-a-faith-and
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relevant for the position is essential. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/297393/associate-professor-sko1011in-leadership-and-chaplaincy-in-a-faith-and
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, neuroscience, and clinical medicine. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/298968/postdoctoral-research-fellow-in-womens-health-clinical-medicine Where to apply
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representations developed in them as a foundation for this research activity. In this project, you will develop fundamental machine learning methods and apply them in an interdisciplinary research environment
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to machine learning algorithms in order to get uncertainty estimates for parameters governing the distribution of the observed data. The predictive Bayes scheme for uncertainty quantification contains a wide
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English Join us as a Postdoctoral Fellow focusing on children's language development in ECEC settings! Postdoctoral Research Fellow in Children's learning and development Apply for this job See
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& Collaboration The successful candidate will work at the interface of machine learning and biostatistics, developing new theory, algorithms, and scalable implementations. By establishing a new class of multi-frame
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Fellow focusing on children's language development in ECEC settings! Potdoctoral Research Fellow in Children's learning and development Apply for this job See advertisement Job desciption Applicants
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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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related to models and multiple sources of data describing ecological dynamics. The PhD project will address the following aims: 1) Develop efficient tools for learning about models from data, 2