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. The Postdoctoral Associate will apply his/her technical skills toward development and implementation of machine learning, computer vision, and other algorithms for analysis of medical images and prognostication as
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the umbrella of the public sector innovation initiative at Duke University. Solid background in programming (e.g. Python) is required. The goal is to find a solutions to consider materials infrastructures in
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behavioral assays related to reinforcement learning and neuropsychiatric disease models. • Combine DART with modern imaging and behavioral tools to examine neurobiological mechanisms. • Analyze data, document
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methodological publications in high- quality, peer-reviewed journals. Qualifications: Candidate must have the following: a doctoral degree in statistics or biostatistics; solid training in statistical methods; and
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community in the Division of Earth and Climate Sciences and the broader Nicholas School of the Environment at Duke University. More information about research in the COOL lab can be found at the COOL lab
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, Chemical and Biomolecular Engineering, Mechanical Engineering, Life sciences, or another related field. Expert knowledge of microfluidics for cellular studies Experience with tissue culture technologies
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of output from global climate models (CMIP-class models) as well as Integrated Assessment Models (IAMs) such as GCAM or PAGE. The candidate must have a PhD degree in a related field, be fluent in computer
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. Salter’s existing research program will also be a plus. Responsibilities include: (1) Conducting research using cultural-psychological and/or critical race theoretical perspectives in collaboration with
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independent research activities under the guidance of a faculty mentor in preparation for a full time academic or research career. Conduct research on computational modeling of cortical neuron activation by
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Stimulation We seek a highly-motivated individual to conduct research on computational modeling of cortical neuron activation by transcranial electric and magnetic stimulation (TES and TMS). We have an NIH