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neuroanatomical phenotyping, machine learning and advanced statistical approaches. The doctoral project will be developed jointly with the successful candidate and tailored to their methodological
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, automated neuroanatomical phenotyping, machine learning and advanced statistical approaches. The doctoral project will be developed jointly with the successful candidate and tailored to their
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Applicable: Several other collaborators in the Anesthesiology Department with significant expertise in Machine Learning/AI are available to help provide overall guidance and strategy to the postdoc
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affiliations. Be You. Be Bold. Choose Duke. Be You. At Duke, we celebrate individuality and the unique perspectives that each member of our community brings. As the Machine Learning Research Data Analyst
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, Cybersecurity, Data Science, Information Technology, Information Systems, Machine Learning, Business Administration, or a closely related field from a regionally accredited institution is required
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settings, as well as machine learning and multivariate decoding of neuroimaging data to predict subjective experiences and individual differences. Successful candidates will be supported in building
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two core areas: human neuroimaging or AI/machine learning/NeuroAI. For candidates with a neuroimaging background, this may include experience with data acquisition, preprocessing, and/or analysis
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and robot-based paradigms. We are also leveraging several analytical tools such as computational modelling and machine learning. As a Research Assistant, you will help collect, analyse and interpret
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scholarly community. The Department is seeking candidates involved in computational/theoretical approaches that bridge the gap between neuroscience and artificial intelligence, machine learning, and other
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reconstruction), machine learning (including big data analytics and adversarial machine learning), natural language processing (audio-visual multimodal understanding), autonomous systems (such as driverless cars