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research and education towards the integration of advanced medical image computing for supporting computer-aided disease diagnostics and intervention planning. Responsibilities and qualifications In
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within Pioneering AI methods for integrative analysis of imaging, clinical and biomedical data to advance understanding and management of complex diseases. The position is open for appointment as of 1
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of Parkinson’s disease and other synucleinopathies. The successful candidate will establish a collaborative research program on live-cell functional studies of alpha-synuclein aggregate processes in cell models
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wish to apply advanced mathematics, statistics and machine learning techniques in biology and to work with modelling data, e.g. 2D images and 3D scans demonstrated theoretical contributions within
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established research groups investigating the spreading of alpha-synuclein aggregates and their functional and tissue-level impacts using histological, transcriptomic, behavioral, and in vivo PET imaging
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information from medical images, improvement of image quality to support dose calculation and adaptive treatment delivery, and statistical modeling of patient data as well as development of efficient methods