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Field
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computer science, mathematics, or physics, a thorough understanding of reinforcement learning, fluency in English. The ideal candidate: is interested in working in a multi-disciplinary project also involving
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postdoctoral researcher will be embedded within the Interactive Intelligence (II) Group at the Intelligent Systems Department of the TU Delft Electrical Engineering, Mathematics, and Computer Science faculty
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. The group offers a collegial and international working environment, with active social interaction among colleagues. About the organisation The faculty of Electrical Engineering, Mathematics and Computer
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, ACL, ICLR, EMNLP, NAACL or COLM); Have excellent programming skills; Have strong mathematical skills (e.g., probability theory, statistics, calculus, and linear algebra); Have strong communication
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approaches. What we ask of you Required PhD in machine learning, physics, or a related field. Established expertise in deep learning (familiarity with graph neural networks, transformers, diffusion and flow
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anxiety, depression, pain, and fatigue. The postdoctoral researcher will work at the intersection of theory development and empirical research, integrating insights from stress physiology, cognitive
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coursework or research output. A solid foundation in economic theory, preferably in industrial organization, market design, energy economics, or related fields. Skills in quantitative modelling or economic
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multicultural research group where independence and personal growth are valued, but where you will never be alone. About the organisation The faculty of Electrical Engineering, Mathematics and Computer
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of you Required PhD in machine learning, physics, or a related field. Established expertise in deep learning (familiarity with graph neural networks, transformers, diffusion and flow based generative
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by Associate Prof. Pedro P. Vergara. You will be a member of the section Intelligent Electrical Power Grids in the Faculty of Electrical Engineering, Mathematics, and Computer Science. The project will