Adaptive MAB Algorithms for Personalized Oncology
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Politecnico di Milano seeks researchers for a fellowship to develop and evaluate Multi-Armed Bandit techniques for personalized behavioral recommendations in oncology. The project aims to design adaptive algorithms that learn from user interactions and identify effective, personalized recommendation strategies.
Applicants will undergo an oral test to assess aptitude and language skills (English or other relevant languages), and the programme evaluates the relevance of publications, theses and