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Field
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applying machine learning or other elements of artificial intelligence to solving significant scientific or engineering problems Interest in software development, with particular emphasis on the Python
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grant when extending an offer. PhD in neuroscience or in related field. Please include C.V. and cover letter. For people in the EU, click here for information on your privacy rights under GDPR
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machine learning analyses will be performed to determine correlations across stimulation settings and body systems as well as to develop predictive models and biomarkers for physiological and clinical
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expected to be fully in person. This position does not have any supervisory responsibilities. Qualifications include a PhD in psychology or a related field and previous experience working in a research
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University of California, Los Angeles | Los Angeles, California | United States | about 10 hours ago
and Cognition. The goal of this project is to work towards an ambitious, novel, and critical understanding of activity, role and purpose of thinking in an age of machine learning, cognitive and neural
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Experience with super-resolution ultrasound, US localization microscopy, photoacoustic imaging, elasticity imaging, pulse encoding, solving inverse problems, machine learning, AI, SolidWorks, 3D printing FLSA
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-edge high-performance computing (HPC) that incorporate machine learning/artificial intelligence (ML/AI) techniques into visualizations, enhancing the efficiency and reliability of scientific discovery
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NSF-Simons Foundation-funded National AI Institute for the Sky | Chicago, Illinois | United States | 24 days ago
, United States of America [map ] Subject Areas: Computer Science and Electrical and Computer Engineering Artificial Intelligence, Machine Learning and Autonomy Data Science Artificial Intelligence Astronomy / Astronomy and
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development in large multi-site cohorts; and 3) developing advanced machine learning models of task-related brain function. The fellow will have the opportunity to contribute to these projects and will also be
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and early-onset cases without a known genetic cause. We are also interested in genetic interactions (epistasis), tandem repeats, machine learning, and other areas of AD research that have not yet been