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carcinoma as a use case. The successful applicant will develop Bayesian statistical and machine learning methods for treatment response prediction using clinical information, molecular characterizations
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. The successful candidate can therefore contribute to shape aspects of the research within the overall framework of the project. More about the position This position is intended to help the candidate develop
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fourth year may be considered and it will involve 25 % of other career-promoting work. Other career-promoting work may consist of teaching, supervision, and/or research assistance. This is dependent upon
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shared decisions regarding treatment options in cancer. The project will use emerging adjuvant immunotherapy treatment options for renal cell carcinoma as a use case. The successful applicant will develop
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aspects of the research within the overall framework of the project. More about the position This position is intended to help the candidate develop research competencies and obtain a doctoral degree at the
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(summarizing education and relevant experience, including details on master’s thesis, statistical knowledge and programming skills). Copies of educational certificates (academic transcripts only). List of 2-3
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interpretable framework for tensor analysis. Specifically, the project will: Develop novel, modular statistical solvers to integrate domain-specific knowledge directly into latent variable models. Account for
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Supporting Neurodevelopmental Variability , funded through the University of Oslo. The project integrates genetics, psychology, pharmacology, and educational sciences to advance understanding
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Factorization Embedding Structure (BETTER)”, and this PhD project specifically aims at developing a unified, scalable, and interpretable framework for tensor analysis. Specifically, the project will: Develop
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to knowledge development, education, and enlightenment that promote sustainable, fair, and knowledge-based societal development. Committed colleagues in a good working environment. Good welfare schemes