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collaboration with a PhD candidate at the Methods and Statistics department, for example on complex data analysis, and the development of personalised visualisations for use by clinicians and patients. You also
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methods developed in our laboratory by combining fluorescent viscosity-sensitive probes and confocal/infrared microscopy with mechanical measurements to correlate the microscale of pore interaction
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to research vehicles and advanced radar prototypes for collecting and evaluating real world multimodal sensor data. While the primary application domain is automotive, the developed methods should preferably be
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, numerical methods, and computational fluid dynamics (CFD), ideally complemented by application in your MSc thesis, research projects, or internships. Have excellent communication skills and command of English
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or more advanced characterization techniques such as SEM, EBSD, TEM, XRD, SIMS or related methods is highly desirable. Experience with mechanical testing, fracture mechanics, hydrogen embrittlement research
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quantitative and mixed-method approaches to address policy-relevant questions at the intersection of innovation, migration, and geography. Main responsibilities include: Designing the research project focusing
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of these models therefore remains a key scientific challenge. In this PhD project, you will develop and apply data-fusion methods that combine physics-based wind farm models with wind tunnel and field data. A
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implement advanced methods for Bayesian model comparison in JAX. These techniques will then be used to systematically explore alternative models for user-defined statistical problems. The second task is to
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for extreme weather conditions (heat and rain), urban greening for biodiversity, or electrification to decarbonise housing and industry. In addition to conventional qualitative methods such as document analysis
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validating the developed methods. Publishing research findings in leading international journals and conferences and presenting your work at scientific meetings. Contributing to teaching activities and