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manipulation of fear and reward learning. This position is part of a recently funded, large-scale and innovative research program, aimed at creating new treatments for negative symptoms, among the most
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collaborate with epidemiologists to help shape exposure variables, analytical frameworks and interpretation. Throughout the project, you will also engage with stakeholders and citizen groups, contributing to co
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. These methods will integrate machine learning techniques and real-time sensor data, to enhance operational efficiency, reduce costs, and ensure desired service levels, such as meeting a high percentage of demand
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such as surgery, patient or staff scheduling using, e.g., multi-objective optimization or machine learning approaches and analyzing efficiency-fairness trade offs. The research will be conducted under
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are eager to learn new techniques or methods · You work independently and accurately · You have demonstrated verbal and written communication skills in English · You are
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contribute, to a lesser extent, to the development of an AI-based clinical decision support system (second pillar of COMPASS). During this project, the student will closely collaborate with the Department