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Statistics we conduct research within the theory and implementation of biomathematics, biostatistics, spatial modeling, differential equations, Bayesian inference, large-scale computational methods
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with risk managers (i.e. the users of the project outputs) throughout the project, and to contribute to the application of further research funding. Where to apply Website https://valtiolle.fi/fi
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) throughout the project, and to contribute to the application of further research funding. Where to apply Website https://valtiolle.fi/fi/tyopaikat/senior-researcher-postdoctoral-researcher-dev… Requirements
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the Department of Applied Health Sciences and will support the delivery of the NIHR Research Professorship awarded to Professor Joht Singh Chandan (NIHR306365, https://fundingawards.nihr.ac.uk/award/NIHR306365
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maximum of ONE student per project. This process will ensure an excellent fit of student to project and also an excellent strategic fit of the project within the faculty. Project titles: Bayesian methods
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PhD Studentship: LLM-Based Agentic AI: Foundations, Systems & Applications – PhD (University Funded)
supervisor Prof. Shiqiang Wang (https://shiqiang.wang ) has recently moved to the University of Exeter after nearly 10 years of industry experience in the United States. He will bring a unique vision, hands-on
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spectrographs with various spectral resolutions, operating from 0.5 to 28 µm. Our group has developed the Bayesian modeling tool FORMOSA (Petrus et al. 2023). It allows the inference of low-resolution (R = λ/Δλ
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programming techniques (e.g., techniques for differentiating effectful programs such as gradient estimation of probabilistic programs, implicit function differentiation, compositional Bayesian inference
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on computational optimization of
, Geesthacht, Germany, with PhD degree awarded by Kiel University (CAU), Germany. Read more about Hereon (https://www.hereon.de/index.php.en ) and Institute of Surface Science (https://www.hereon.de/institutes
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systems with a focus on optimal filtering (Bayesian filters, e.g., Kalman/particle filters) in the context of indoor/outdoor navigation as well as in the application areas of autonomous platforms and