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selected PhD student will work as part of a multidisciplinary team of experienced researchers, closely collaborating with a PostDoc focus on the collective motion of particulate flows. PhD researcher
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automated detection models (deep learning and/or classical) for ROI identification from lower resolution or degraded MRI data Develop simulation frameworks to generate realistic low-resolution or motion
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PhD Studentship: Hydro-geomorphic Impacts of the Return of the Beaver, Fully-funded MSc by Research.
to calibrate national datasets built through 2 (field and computer-based, months 12-18). Publish a paper describing the extent to which beavers change hydrology and geomorphology (desk-based, months 18-24
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will be immersed in a unique learning environment at the interface of clinical research, neurocritical care, and data analysis. This three-year fixed-term post as a university assistant (PraeDoc
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domain knowledge in 4 core application domains, for which reliable AI methods are most urgently needed: medicine and healthcare, robotics & interacting systems, algorithmic decision-making, and learning