Development of Multi-Armed Bandit Techniques for Behavioral Recommendations in Oncology”
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Organisation/Company Politecnico di Milano Research Field Computer science Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Application Deadline 18 Dec 2026 - 12:00 (UTC) Country Italy Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No
Offer DescriptionThe project aims to develop and evaluate Multi-Armed Bandit (MAB) techniques for personalized behavioral recommendations in oncology. The main objective is to design adaptive algorithms that progressively learn from user interactions and identify effective, personalized recommendation strategies. Activities will include a review of the state of the art, algorithm design and implementation, and evaluation using available data or simulated environments. The project will assess the feasibility, performance, and potential applicability of the proposed approaches in oncological settings.
Oral test aimed at ascertaining candidates' aptitude and suitability to carry out the research activity covered by the Fellowship, as well as at assessing their knowledge of English and/or other languages relevant to the research activities to be performed (up to 60 points)
Relevance and pertinence of the publications, theses and scientific products attached to the research programme covered by the Fellowship (up to 15 points)
Relevance and pertinence of previous research activities and work experience, if any, in relation to the research activity covered by the Fellowship (up to 10 points)
Relevance and pertinence of their study programme to the research programme covered by the Fellowship (up to 15 points)
- EUROPE
Eligibility of fellows: country/ies of residence:
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Eligibility of fellows: nationality/ies:
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milano, lombardia, Italia Italian Ministry of Education, University and Research Tempo pienoPolitecnico 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...
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