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given to race in football video game cultures. The project is funded by the Netherlands Organisation for Scientific Research (NWO). The PhD project will focus on the popular practice of football video
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the world. Code Review Efficacy The reviewing track will explore ways to make code reviewing more effective and efficient. A major element is how LLM tools relate to reviewing, either when code is produced by
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Delft about the new insights we gather. We will focus on open science, sharing our results to help developers across the world. Automated Code Refactoring The focus is on exploring and evaluating
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. Investigate and implement optimum sampling strategies, including sparse and compressed sampling techniques. Explore the applicability of neural networks in clinical workflows, ensuring solutions are practical
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of everyday life. This project aims to change that by developing AI-driven methods to assess wellbeing through video-based sentiment analyses. As a PhD student, you will develop and refine machine learning
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quality of after-school care using existing, large datasets. The data includes: questionnaires for managers and caregivers; (coded) observational data; (coded) video data of interactions between staff and
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“The Collective Bystander”, led by Professor Marie Rosenkrantz Lindegaard, that aims to understand why bystanders take collective action in real-life emergencies. The project utilizes state-of-the-art video
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reimbursement of €0.18 per km. Watch this video with more information about joining Amsterdam UMC Research BV. Additional comments During the publication period, applications are reviewed on a rolling basis. The
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per km. Watch this video with more information about joining Amsterdam UMC Research BV. Additional comments Along with your CV, please submit a motivation letter that addresses the following questions
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of the application deadline. Shortlisted candidates will be invited to participate in brief video interviews. Those advancing to the second round will attend either an in-person interview or an extended video call