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their roles in the development of these diseases. To achieve this goal, the researcher hired for this PhD position will work with the Centre’s datasets, analytical methodology, and computational tools
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Vitelli. Successful candidates will work on Bayesian models for unsupervised learning when multiple data sources are available, mostly tailored to the case of molecular data in cancer genomics. The position
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functional data ”, led by Associate Professor Valeria Vitelli. Successful candidates will work on Bayesian models for unsupervised learning when multiple data sources are available, mostly tailored to the case
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ambitious researcher with a relevant PhD to be part of the MAGIC project. The aim of the project is to uncover the role of metabolic dysfunction in psychosis, through the use of genomics, metabolomics and
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invite applications for a postdoctoral fellowship for an ambitious researcher with a relevant PhD to be part of the MAGIC project. The aim of the project is to uncover the role of metabolic dysfunction in
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. The ideal starting date is August/September 2025. A career plan shall be developed for the Postdoctoral Fellow, specifying the competencies the Postdoctoral Fellow should acquire. UiO is responsible
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contribute with own ideas and plans for clinical trials and epidemiology studies. via Unsplash Qualifications Applicants should hold an MD degree in medicine, and/or a PhD in biomedical data science or