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for a candidate who has: Hold (or complete by the date of appointment) a PhD or equivalent degree in economics, public policy, political science, or a related field Research experience or publications
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from the areas of few-shot learning, continual learning and modular deep learning, as well as different LLM alignment frameworks, based on reinforcement learning and direct preference optimisation
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communicating research findings and scientific insights to different types of audiences, including scientific, professional and community audiences; Collaborating with the chair holders and colleagues in the team
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the scope of the research programme; Translating and communicating research findings and scientific insights to different types of audiences, including scientific, professional and community audiences
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the Teratom project, led by the Technical University Eindhoven, and financed by National Growth Fund NXTGEN Hightech programme: Future-proof high-tech equipment. Qualifications A PhD degree in physics, physical
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the coordination of the consortium and collaborating with partners. Where you will work Our Department The Department of Economics is a young, vibrant research community. We work together to make a difference
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results to different target audiences and sectors (e.g. research, clinical practice and industry). You will publish your research results in well-ranked international journals and at highly recognised
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, and fairness attacks, as well as to increase the trust that their users have in these systems, while accounting for different phases of the AI life cycle, starting from data collection through training
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. To this end, we will employ ambulatory EEG. Your tasks: You will perform measurements and analyse data. You will communicate and disseminate research results to different target audiences and sectors (e.g
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outcomes under different market design scenarios. The research will combine machine learning, stochastic optimization, and agent-based modelling with behavioural experiments. Case studies from emerging