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. Department: Res Dept of Biomedical Computing. Contact details:Dr. Rachel Sparks. rachel.sparks@kcl.ac.uk Location: St Thomas Hospital. Category: Research. About Us We are seeking experts in medical image
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(pcmlab.co.uk) to develop a prototype tool for utilizing this prediction tool in a clinical environment. About You You will have expertise in deep learning and programming. Experience working with medical imaging
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://postdoc.wustl.edu/prospective-postdocs-2/ . Trains under the supervision of a faculty mentor including (but not limited to): Engages in image acquisition with clinical MRI scanners. Post-processes and analyzes
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of neural activity will be used in conjunction with advanced imaging methods and behavioural assays to investigate how signals beginning in the retina and transmitted through different visual pathways
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-on experience in training large neural networks (generative models). Hands-on experience in medical image reconstruction. Preferred Qualifications: Proficiency in Python, C/C++, and Unix-like operating systems
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combination of calcium imaging with optogenetics, in freely behaving animals in Paolo Medini’s lab, in collaboration with Olof Lagerlöf and UmU’s new visiting professor Valentina Emiliani. Tasks
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access to data from AIMS-2-TRIALS, the world’s largest multimodal, longitudinal autism study; the South African BONO cohort, and the SLAM Image Bank, one of the world’s largest, real-world imaging/clinical
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Postdoctoral Associate – Systems Neuroscience: In Vivo Imaging & Electrophysiology Location: Virginia Tech, Fralin Biomedical Research Institute at VTC (Roanoke, Virginia, USA) Lab: Shin Lab | Lab
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bioinformatics, statistics, and/or computer science to join the Eberlin Lab for Medical Mass Spectrometry. These skills would be applied to large mass spectrometry and mass spectrometry imaging datasets
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-on experience in training large neural networks (generative models). Hands-on experience in medical image reconstruction. Preferred Qualifications: Proficiency in Python, C/C++, and Unix-like operating systems