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the field of number theory. The successful candidates are expected to participate in a research grant project and teach on average two hours per week. Application Instructions Upload the application and the
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interested in exploring the limits of quantum computation using automated reasoning. We are broadly interested in tackling conjectures and open problems in quantum information theory using satisfiability
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. Description of the position The position focuses on developing next-generation learning-based decision-making and control for autonomous robots operating safely in dynamic, crowded environments. As a PhD
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interdisciplinary projects that span practice-based work, empirical research, textual and theoretical analysis, industrial studies, and historical or contemporary perspectives. Oxford Brookes University is committed
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Max Planck Institute for the Study of Crime, Security and Law, Freiburg | Freiburg im Breisgau, Baden W rttemberg | Germany | 22 days ago
: Professor Jean-Louis van Gelder) is seeking to recruit for a PhD Position (f/m/d) Short-Term Mindsets and Crime: From Theory to Intervention. Your profile We are seeking a highly motivated PhD candidate with
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learning, probability theory, Real and functional analysis, Information-based complexity Appl Deadline: 2026/01/15 11:59PM (posted 2025/12/04, listed until 2026/01/15) Position Description: Position
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optical links, compensating for scattering of entangled photons in media such as multimode fibres and the turbulent atmosphere, and the realisation of logic gates to perform quantum computation operations
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. Applicants with a strong background in optimization (including machine learning), algorithmic game theory, decision theory, computational social choice, social welfare, or fairness optimization are welcome
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-level quantum programming language. The successful candidate will work directly with the project’s principal investigator, Assoc. Prof. Robin Kaarsgaard , an internationally recognised expert in the areas
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will advance theory of the processes that support STEM skills. Via a spatial training programme, you will provide evidence that teaching students to think and work spatially is an evidence-based