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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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strong desire to execute and get the work done is necessary. Physical presence at the workplace is expected. Who are we looking for? We are looking for excellent candidates with a PhD degree in the fields
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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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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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for developing novel national and international AI solutions for clinical practice based on multimodal data, including fusion of the rich Danish and international register data with data from journal notes, image
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. However, exploiting their full potential requires the development of advanced data processing pipelines and accessible software solutions. This PhD position will play a critical role in unlocking the value
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Professor of Veterinary Clinical Neurology Section for Diagnostic Imaging, Surgery, and Clinical Specialties Dept. of Veterinary Clinical Sciences Faculty of Health and Medical Sciences University
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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
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well as an OPM MEG setup (presently being established). Computer-controlled visual, auditory, olfactory and somatosensory stimulation as well as behavioural response monitoring and eye-tracking systems