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About Us We are seeking experts in medical image deep learning to join our team and help develop novel computationally efficient segmentation algorithms. We welcome application from individual with
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of precision imaging datasets using supercomputing cluster resources. Support students and trainees involved in infant data processing and analysis. Present novel discoveries at international conferences
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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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RESEARCH INSTITUTE DR. JOSEP TRUETA (IDIBGI) opens the selection process to cover one job position to be part of the Translational research group in cardiovascular respiratory diseases (CAREs), led by Dr
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to reconstruct subsurface defects; Implement image/signal‑processing or machine‑learning pipelines for automated flaw characterisation; Collaborate with the Federal University of Rio de Janeiro, including short
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of London is exploiting cutting-edge mechanobiological, as well as imaging approaches 2-5 with the aim to investigate the role of mechanical sensing and memory in cardiovascular disease. The postholder
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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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with prototype development for community-driven archives, and preparing open-access toolkits and publications. The post involves interdisciplinary collaboration across digital humanities, sustainability
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engineering, rehabilitation engineering, or a research doctorate in a related field. Significant experience in biomechanical and musculoskeletal imaging data collection, processing, and analysis. Significant
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processes and understanding of pertinent interfacial phenomena and degradation mechanisms. Specifically, INERRANT aims to pioneer: (i) innovative (nano)materials combinations for anodes and cathodes; (ii