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Description We are looking for a PhD-candidate interested in topics that lie on the border of optimization by the use of heuristic algorithms and (Explainable) Artificial Intelligence ((X)AI). Specifically, in
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. Artificial Intelligence (AI) is reshaping how organizations collaborate, make decisions, and develop talent. At the Graduate School of Business and Economics (GSBE), you will explore how AI transforms
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sometimes be offered to allow you to prepare. What we offer As PhD in Behavioral/Experimental Economics and Economic Theoryat School of Business and Economics, you will be employed by the most international
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Intelligence (AI) and machine learning (ML) techniques. You will develop AI-based predictive models to anticipate user engagement, primarily using data collected through unobtrusive measurements (e.g., websites
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pharmaceutical residues from entering wastewater, and designing sustainable interventions for high-emission clinical departments. Our goal: This PhD project has two main goals: (1) to develop knowledge
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studies in close collaboration with your supervisors. You will develop hypotheses, collect and analyse data, communicate with participants and organizations, write scientific papers, and present findings
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expected to do Designing and optimizing experimental paradigms. Deploying behavioral tasks on online platforms (e.g. Pavlovia). Collecting and analyzing behavioral and EEG data. Developing, validating and
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facilities for your personal and professional development. We facilitate this by offering a wide range of training programs and supporting various well-established initiatives such as 'acknowledge and