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. The position gives excellent opportunities in publishing in high-quality forums. We expect the applicants to have a PhD degree (or close to completing one) in computer science, mathematics or statistics, with
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) in computer science, mathematics or statistics, with an excellent publication record. Solid research experience in one or more of the following topics is expected: Graph neural networks Optimization
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from all backgrounds to join our community. The Department of Information and Communications Engineering is now inviting applications for a Postdoctoral or Doctoral Researcher in statistical signal
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expertise, and ability to combine the particle-based approaches with statistical mechanics and continuum scale modelling of soft materials. The candidate should have demonstrated expertise in dissemination
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Doctoral Researcher in statistical signal processing. The Structured and Stochastic Modeling Group, headed by Prof. Filip Elvander, conducts research in statistical signal processing, ranging from
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algebras, tensor categories, lattice models of statistical physics, conformally invariant random processes, formalization of mathematics (preferably in Lean). The working language of the group is English
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background in mathematics. We particularly value experience in the following topics: vertex operator algebras, infinite dimensional Lie algebras, tensor categories, lattice models of statistical physics
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/statistics/computer science needed in machine learning. Previous experience in the application fields is an advantage. Capability of both independent work and teamwork, and excellent written and spoken English
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close to getting a relevant doctoral degree and have a solid background in the mathematics/statistics/computer science needed in machine learning. Previous experience in the application fields is an
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and wellbeing. Using advanced methods in statistical modeling, NLP, HCI, and experimental design, it will also test interventions, such as visual cues, to reduce harm and foster healthier browsing