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experts to acquire bespoke training and testing data; develop prototype solutions informed by the latest ideas in medical imaging AI, computer vision and robotic guidance; and evaluate models in simulated
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and assessment of ocular inflammation models, such as intravitreal injections, ocular imaging techniques and flow cytometry. Moreover, applicants will perform a variety of additional procedures such as
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qualifications include: Experience with radio interferometric observing, data processing, and imaging. Experience with modern machine learning / deep learning techniques and software packages. Experience with time
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techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow at the AMBER programme you will get unprecedented medical
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
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with a group of highly motivated scientists to employ interdisciplinary approaches such as retinal cell biology, functional genomics, imaging, and biochemistry. The Chen Lab has a well-recognized
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classification for hyperspectral and fluorescence lifetime datasets. Optimize algorithms for batch processing and scalability, enabling high-throughput, automated analysis of large image datasets from fluorescence
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& Decision Neuroscience Lab (https://www.konovalab.com/) led by the Principal Investigator and located at the Rutgers Center for Advanced Human Brain Imaging Research (CAHBIR). The ADN Lab conducts decision
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on an optical table and integrating novel optics to microscopy are a requirement for this position. Knowledge in computational imaging, mathematical modeling, strong computer programming skills in MATLAB and/or
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units across the University. Utilize molecular biology, biochemical techniques and high-resolution imaging, perform in vitro functional analyses including patch-clamp and calcium measurements. Perform