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Learning for Medical Imaging and Multi-Modal Data in Cancer Research Apply for this job See advertisement About the position Position as PhD Research Fellow in Deep Learning available at the Department
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Exploiting activation of senescence tumour suppressor mechanisms by Salmonella enterica for the treatment of cancer School of Biosciences PhD Research Project Self Funded Dr D Humphreys Application
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. Experience in neurobiology of addiction, animal behavior (self-administration, stereotaxic surgery), and/or molecular techniques (PCR, western blot, immunohistochemistry). Experience in neuronal imaging is a
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secondary or adjunct appointment in a medical department. General areas of interest include Biomedical Imaging Hardware Development as well as Biomedical Signal and Image Processing of all Biomedical imaging
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neuropsychological assessment with brain imaging data (e.g., functional MRI, structural MRI, EEG) Proficiency with neuroimaging analysis software or electrophysiological data processing Experience conducting clinical
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facilities and equipment, as well as shared Core Facilities across the CU Anschutz Medical Campus enable performance of cutting-edge science. The Department’s strong commitment to education provides multiple
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, surgery, injections, and model generation. Required Qualifications Education: PhD in a biological science major or equivalent doctoral degree. Work Experience: Experience in liver research and metabolism is
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into experimental animals. Assist with and eventually independently perform surgery and perfusions on experimental animals. Collect tissue and fluid samples (e.g., body fat, brain tissue, blood) from experimental
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collaboration with hospitals or medical researchers. Understanding of radiology/pathology imaging interpretation. Other Advantages Publications or strong project portfolio in computer vision/medical AI
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image acquisition. 4. To participate in the out-of-hours first opinion service if required, ensuring adequate cover is available for the provision of direct supervision, advice and expertise when required