10 10-phd-candidates-or-postdoctoral-researchers-in-machine-learning-and-deep-learning PhD positions at University of Oslo
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tasks for the position The candidate will pursue research on Bayesian models for unsupervised learning when multiple data sources are available, mostly tailored to the case of molecular data in cancer
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on other components of the project and publish in peer-reviewed venues. The candidates will contribute to the development of the existing research environment at NCHR. In addition to their PhD project
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addition to their PhD project, they will take part in group activities with the core project team, consisting of the PI, a postdoctoral researcher, and the other PhD research fellow. In addition, PROBONO is supported by
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project, which is a 5-year project funded by the Norwegian Research Council to upgrade the LHC experiments ATLAS and ALICE and the World Wide LHC Computing Grid. The successful candidate will work primarily
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editing is an advantage. The candidate must have excellent written and oral communication skills in English To be employed as a PhD Research Fellow, admission to a doctoral program is required. Normally
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microscopy, and CRISPR editing/screens. The candidate is expected to collaborate with national/international partners and be prepared to travel. via Unsplash Requirements To be admitted to the PhD programmes
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candidate will be part of the AffectiveBrains research group and Dr. Marie Eikemo’s lab (Principal investigator and supervisor). The employment period can be considered to be up to 4 years given addition
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starting the PhD). The candidate must be qualified for admission to the ph.d. program Strong background in quantitative methods (reflected in courses and/or research experience) Proficiency in R, Python
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harms. The project is funded by the Norwegian Research Council. The candidate will be able to work on cutting-edge research topics and get access to an international and interdisciplinary network of high
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of Mathematics and Natural Sciences has a strategic ambition of being a leading research faculty. Candidates for these fellowships will be selected in accordance with this and expected to be in the upper segment