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Field
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: Have (or be close to completing) an MSc in computer science or a related field. Have an interest in both theory and practice. Have strong programming skills and interest in developing state-of-the-art
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programs. Alternatively, Mathematics, Computer Science, Computer Engineering, Electrical Engineering, or a similar field; Strong mathematical background: basic knowledge of graph theory and excellent
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that allow you to: understand and apply quantitative (statistical, econometrical, analytical) methods, understand regulation-related theory and practice; motivation to do high quality research with the aim
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control synthesis methods. We invite highly motivated students with a strong background in discrete-event systems, supervisory control theory, and formal methods to apply for the PhD position within
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. This project combines classic foraging research with frameworks from marketing theory to understand how the ecological context influences predator behavior, and subsequently selection on chemically-defended prey
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, geographical and theoretical approaches including, among others, network theories, connected history, reading history, medical humanities, material culture studies, postcolonial perspectives, and digital
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technologies—and eager to accelerate their discovery with machine learning and materials theory? Are you passionate about linking atomistic processes to device performance through computer simulations? Are you
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, schools, industry- and societal partners. Investigating barriers and enablers for successful inclusive, technology mediated practices, integrating theory and practical insights into actionable design
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24 Sep 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Mathematics » Probability theory Physics » Statistical physics Researcher Profile Recognised
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://www.academictransfer.com/en/jobs/354978/phd-position-theory-of-learning… Requirements Specific Requirements You hold an MSc in physics, engineering physics or mathematics. You have a good command of analytical techniques