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Research Associate specialising in statistical modelling and machine learning to join our multi-university multi-disciplinary team developing a groundbreaking technique based on autofluorescence (AF) imaging
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and mathematical approaches to signal analysis, information theory, computational biology and image processing. The term of appointment is one year with the possibility of renewal pending satisfactory
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exploiting cutting-edge mechanobiological, as well as imaging approaches2-5 with the aim to investigate the role of mechanical sensing and memory in cardiovascular disease. The postholder of this British Heart
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University of California, Los Angeles | Los Angeles, California | United States | about 21 hours ago
Apply now to Postdoctoral Scholar in Imaging Science/Cystic Fibrosis/Rhinology Job #JPF10530 Surgery-Head & Neck / David Geffen School Of Medicin / UCLA Position overview Position title: Postdoctoral
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University of California, Los Angeles | Los Angeles, California | United States | about 21 hours ago
Skip to main content Recruit Home Open Recruitments Postdoctoral Scholar (JPF10531) Postdoctoral Scholar Apply now to Postdoctoral Scholar Job #JPF10531 Surgery-General / David Geffen School
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: Performs specialized research techniques and procedures related to phenotypic characterization of cardiovascular disease using available signal-based and imaging techniques. Compiles and analyzes data using
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: Exploring how non-classical states of light can enhance modern microscopic imaging techniques. Designing setting up and executing the experiments Developing relevant algorithms for experimental data post
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optimisation techniques and AI-based models to support decision-making in microgrid design and operation. Working in collaboration with a leading global mission critical firm of engineers, this project offers
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deep learning techniques to improve image processing and trait prediction. Analyze large datasets generated by the Phenomobile.v2+ to identify key traits affecting crop performance under stress
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in sustainability, photonic and quantum technologies, new nanostructured materials, sensing, imaging and clean energy. The group adopts an interdisciplinary approach to provide leading-edge research in