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healthcare applications. We use large real-world complex datasets, including data extracted from electronic health records and medical images, for applications pertaining to patient diagnostics and prognostics
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multidisciplinary research team including experts at NYUAD and Cleveland Clinic Abu Dhabi with a demonstrated track record in vision science, neuro-imaging, neuro-ophthalmology and deep learning. Using Advanced
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combination of techniques such as rodent behavioral analysis, biochemical, molecular and cell biology, in vivo and in vitro fluorescence imaging, and next-generation sequencing. Position duties would include
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, coding pipelines for optical imaging/photometric data analysis, and spectral modelling, are strongly encouraged to apply. Successful candidates will be encouraged to develop independent projects in
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tailored to dynamic, human-centered environments. They may also work with diverse signal modalities, including vision, speech, images, and physiological signals. Preferred Experience: The lab highly values
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include algorithm design, prototype implementation (e.g., in Matlab/Python), deployment (to the agents’ autopilots using the Robot Operating System), and experimental testing (on unmanned vehicle swarms). A
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of cardiovascular medical devices, non-invasive imaging modalities such as echocardiography, and computational flow simulation software), are required. For consideration, applicants need to submit a cover letter