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                fellowship offers clinical training in neuromuscular diseases, focusing on primary mitochondrial disorders (PMD). You will undertake a research project in imaging related to the evaluation of PMD severity 
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                Academic Job Category Faculty Non Bargaining Job Title Postdoctoral Research Fellow in Machine Learning for Computational Pathology, Medical Imaging, and Clinical Text Analysis Department Bashashati 
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                disease patients using radiation therapy. The primary aim of this research is to develop real-time target tracking and/or dynamic imaging algorithms for implementation within radiotherapy and medical 
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                experience performing in vivo biodistribution imaging to apply to an exciting project investigating antibody penetration in heterogenous tumor models. The postdoc will work closely with in vivo imaging 
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                We are pleased to advertise three new posts providing an exciting opportunity to join the world-leading biomedical imaging research group at the Sir Peter Mansfield Imaging Centre (SPMIC 
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                Details Title Postdoctoral Fellow in Imaging Approaches to Measuring Brain Energetics School Faculty of Arts and Sciences Department/Area Human Evolutionary Biology Position Description We seek a 
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                developing machine learning or data science approaches for patient stratification and genetic association analyses using cardiac magnetic resonance imaging in biobank populations. Successful applicants will 
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                applications in electronic form must not exceed a size of 15 MB for technical reasons. Data protection The University of Erfurt uses an e-mail system with transport encryption capabilities. Please send your e 
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                Join Our Team at the School of Biological Sciences, Nanyang Technological University, Singapore The School of Biological Sciences (SBS), part of the College of Science, was established in 2002 with a mission to advance biological and biomedical sciences. At SBS, our research spans various... 
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                research and development. Here, you can apply your engineering talent to develop new life-saving technologies – for example, medical imaging, wearable devices, surgical robotics and laboratory-grown tissues