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multimodality neuroimaging data (including PET, but mainly MRI), with a goal of detecting and quantifying early neural injury due to neurodegeneration. The research team includes Cognitive Neuroscientist
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a highly motivated Postdoctoral Associate in the Clinical and Affective Neuroscience Lab (Lab Director: David Zald, PhD), housed within the Center for Advanced Human Brain Imaging Research (CAHBIR
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$54,000/year Type of Position Temporary Position Time Status Full-Time Required Education PhD Required Related Experience None Required License/Registration/Certification None Physical Requirements Moving
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PhD applicants will have obtained their doctoral degree from a PhD program with a strong foundation in basic, clinical, behaviorial, or social science with documented research training. • MD/DO trainees
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, preferably with applications to AI systems ● Design, analysis, and modeling of AI hardware such as deep neural network accelerators or neuromorphic computing ● Emerging AI/ML models and hardware
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, preferably with applications to AI systems ● Design, analysis, and modeling of AI hardware such as deep neural network accelerators or neuromorphic computing ● Emerging AI/ML models and hardware
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), psychophysics (in person and online), computational modeling, and machine learning to arbitrate among competing hypotheses about the neural mechanisms of conscious awareness. This project is part of
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, computational physics and x-ray science. The appointee will benefit from access to world-leading experimental and computational resources at Argonne including some of the world’s largest supercomputers (Polaris
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the brain. We are particularly looking for a PhD level systems neuroscientist with expertise in animal behavior tracking using deep learning algorithms and its causal link with specific neural circuits
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, implement, and evaluate computational models that assimilate 2-photon data (60%) Use a computer programming language to create novel neural network simulations (models) that include realistic simulations