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imaging, in vivo electrophysiology, animal behavior experiments, animal surgery, computational modeling of animal behaviors, or computational modeling of neural dynamics. Some programming skills for data
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and expertise in brain imaging (MRI), image processing and machine learning. Coordinating projects within the research group, supervising students and writing applications are also included in the role
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: EUROPE Eligibility of fellows: nationality/ies: EUROPE Selection process evaluation of presented titles and interview on the subjects specified by the notice Website for additional job details https
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our fellows become proficient in multiple facets of musculoskeletal imaging and procedures. All imaging modalities are utilized to diagnose and treat injuries and diseases including CT, MRI, ultrasound
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involves the evaluation of digital images on a computer screen and identifies/characterizes ophthalmic features and pathologies in support of medical research activities. The tasks also include preparation
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proper archiving protocols for processing and storing all acquired images related to procedures. Maintain patient confidentially and demonstrate exemplary customer service skills. Performs Quality Control
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application, may be viewed at: https://qcb.illinois.edu/postdoctoral-fellowship-program/ If you have any questions about the QCB Postdoctoral Fellowships or the application process, please email us
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. The primary research area will focus on applying advanced multimodal brain imaging, machine learning, and signal processing methods to evaluate patients with autism and related neurodevelopmental and genetic
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-of-the-art infrastructure and facilities, such as the Life Science Imaging Centre (https://research.hkbu.edu.hk/resources/facilities-and-labs/hkbu-life-science-imaging-centre). Being part of a rapidly evolving
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 2 hours ago
of active surface processes. Artificial Intelligence (AI) has the potential to collaboratively focus researchers on candidate regions of interest that otherwise would be obscured by sheer dataset scale