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Field
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PhD in theoretical neuroscience, physics, computer science, or related fields is required. Applicants must demonstrate strong analytical and numerical skills. Additional Qualifications Special
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enhance provincial capacity to tailor care approaches in response to the ongoing substance use crisis. The ideal candidate will have a passion for integrating multiple sources of quantitative data and a
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to the ongoing substance use crisis. The ideal candidate will have a passion for integrating multiple sources of quantitative data and a drive to explore new areas of inquiry critical to transforming the quality
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at research hospitals (eg. Study nurse, data collectors), and students. QUALIFICATIONS • PhD in a relevant field • Demonstrated ability to thrive in a collaborative team environment • High personal
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their family carers High level analytical capability Ability to communicate complex information clearly, to a range of audiences, including family carers and people with learning disabilities Fluency in
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, computational medicine, predictive analytics, big data, neuroscience, and related fields. AI + Life Sciences: Participate in research projects that are related to AI and the life sciences. These may include
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units in neural networks, which drive both artificial and natural intelligence. Current projects span a wide range of topics in deep learning theory and theoretical neuroscience. For more information and
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Department of Health and Human Services Part 1. Overview Information Participating Organization(s) National Institutes of Health (NIH ) Components of Participating Organizations National Center
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the Gallery are conducive to teaching that engages students’ multiple intelligences and can train them to be analytical observers, agile thinkers, and empathetic individuals. The fellow will participate in