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, comparable flexible models for longitudinal data are still lacking. Moreover, it remains unclear how to assess whether simpler latent variable models adequately fit these complex datasets. During this PhD
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models and Bayesian approaches to tackle complex, real-world data? Join this PhD project to build dynamic models and study cognitive variability using ecological momentary assessment (EMA). Join us We are
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hidden patterns from them? Do you enjoy exploring mathematical models and working with network data? Join our team! Job description Complex systems are often modeled with networks, structures where
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training data, when these are available, and also to learn from real-time, potentially non-IID, streaming data; should be able to track the evolution of key features and achieve model plasticity while
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identify network designs that can further enhance global telecommunications and urban performance. This exciting PhD project presents several scientific challenges, including developing advanced models
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is looking for: PhD position in chemical complexity of textile production We are looking for a PhD candidate who will work to document and map the flows and environmental impact potential of chemicals
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PhD position in Condensed-Matter Theory of Magnetic Topology Faculty: Faculty of Science Department: Department of Physics Hours per week: 36 to 40 Application deadline: 8 May 2026 Apply now
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PhD Position in Sequential Decision-Making Faculty: Faculty of Science Department: Department of Information and Computing Sciences Hours per week: 36 to 40 Application deadline: 15 May 2026
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-physical systems secure and resilient in the presence of uncertainty and cyber-physical attacks? Then you may be our next PhD candidate in resilient and learning-based control of cyber-physical systems
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-methods… Requirements Specific Requirements You are an enthusiastic researcher driven by curiosity and: Have an affinity with statistical or mathematical modeling, and (some) programming experience