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the framework of the contract. This doctoral project lies at the intersection of geography, economics, statistical physics, and complexity science. It examines the relationships between residential locations and
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for operational risk management in companies with different levels of occupational health and safety culture Main ideas of the proposed dissertation topic: 1. Development and scientific validation of an operational
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enhanced utilization of alternative carbon pathways. A secondary objective is to evaluate the impact of different dry‑hopping regimes on the physicochemical properties and flavor‑related characteristics
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. The successful applicant will join the research group Statistical learning in molecular medicine and the high-dimensional statistics environment at OCBE, and be part of a multi-disciplinary research consortium
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minimise health risk. The aim for this project is to investigate the use of statistical AI methods for a) estimating the synergistic effect of temperature, humidity and air quality on human health (mortality
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electricity risk indices for Europe and test whether firms more exposed to electricity price risk face different market valuations and stock return dynamics. Subject areas: Econometrics, Finance, Mathematical
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to differential privacy and statistical divergence frameworks Robustness to adversarial relearning — designing unlearning protocols that remain stable under fine-tuning attacks, jailbreak-style probing, and multi
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influences that define and shape their early careers and practice, including the impact of different learning and professional development phases. Further information on the study is available at the TPJ
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unique opportunity with access to three different databases to investigate the value of RWD in generating evidence from RWD for decision making. Potential research topics include an emulation of the phase
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) - experience of some type of remote sensing - knowledge of agriculture - knowledge of biodiversity, biological communities, and different habitats - experience in calculations, statistical methods, and modelling