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Mathematics of Imaging & AI (MIA) chair, you will join the ZonMW-funded AI for EVAR project, aiming to transform the care for patients with abdominal aortic aneurysms (AAA). You will develop and validate
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Project description The postdoctoral fellow will explore synaptic processes and white matter pathways between remote brain areas in vivo in animal models that underlie plasticity in the prefrontal
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system, including a suitable camera and an embedded system, will enable real-time acquisition of images of the tube carriage, from the side of the carriage, and subsequent image processing algorithms
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, Computer Science and must have no more than five years of post-qualification experience at the time of application; (b) have research experience in multimodal data fusion, video / image processing, and structural
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-up (Bruker dimension icon), and has further access at QMUL to SEM and TEM. We offer competitive salaries, access to a generous pension scheme, 30 days’ leave per annum (pro-rata for part-time/fixed-term), a
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the clinic and in silico. We focus on neurodegenerative processes and are especially interested in Alzheimer's and Parkinson's disease and their contributing factors. The LCSB recruits talented scientists from
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Swiss Federal Institute for Forest, Snow and Landscape Research WSL | Switzerland | about 20 hours ago
. The Land Change Science research unit studies patterns and processes of land systems and their dynamics over various spatial and temporal scales. Within the FOEN funded «Habitat Map of Switzerland» project
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access to state-of-art Siemens, GE scanners, as well as a United Imaging PET/MRI system located nearby—providing an ideal setup for multi-vendor studies. The prospective postdocs will collaborate with a
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ecosystems in a human transformed landscape” funded by the National Science Centre. Principal Investigator: prof. dr hab. Andrzej M. Jagodziński Key words: hyperspectral imaging, laser scanning, remote sensing
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VR-based tasks to study user cognition and creative performance; • process and analyse EEG data using advanced signal processing and machine learning techniques; • evaluate cognitive load