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The objective is to study intestinal biopsies from patients with Crohn’s disease using high-resolution hyperspectral imaging(microspectroscopy) to explore whether there is a link between such particles and inflammation. A sub-objective is to assess if hyperspectral imaging can predict the onset...
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science(e.g., mathematics, physics, computer science, etc.), a strong background in data science, statistics, or machine learning, and an interest in biomedicine. Alternatively, a candidate with a
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Research areas will be within the domain of risk, resilience and sustainability of complex systems. This involves utilization of advanced techniques for probabilistic modeling and analysis of systems, and their further development such as to enhance their efficiency, ensure consistency in...
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to enhance hydrological predictability under climate change. Profile:The ideal candidate has MSc degree in Geodesy, Civil Engineering, Physics and Meteorology, Applied Mathematics, Computer Science/Engineering
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Postdoc in statistics to develop Bayesian privacy metrics for synthetic health data (2024-224-05725)
. Qualification requirements: You should hold a PhD degree in computer science, statistics, physics, mathematics, engineering, or a field of science relating to data science with emphasis on statistical
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proper decisions. The trade-off between safety and greediness are assessed using stochastic constrained optimization. At the outset, it is assumed that the mathematical model of the system is known