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postdoc associate. The individual will implement, simulate and analyze models of epileptic source localization from EEG signals. Collaborate with clinicians to obtain and analyze imaging, EEG, and outcome
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ganglia disease mechanisms using advanced methodologies including synaptic physiology, chemicogenetic circuit manipulations, behavioral phenotyping, calcium imaging, and genome-wide RNAi/small molecule
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development including radiological imaging of cadaveric specimens for teaching and research. Candidates will be expected to participate in research of any type in association with faculty in the Department
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) Collaborating with the PI on a grant-funded, faculty-led research project exploring the use, regulation, and political consequences of emerging fintech products like earned wage access, digital buy-now-pay-later
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exposure during pregnancy and fetal intestinal health, specifically immunity. 2. PFAS exposure and placental health using imaging techniques. Tasks include: Conduct bench work/experiments/research and take
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different types of social and ecological data at various spatial scales; o Experience working in R; o Strong written, digital and verbal communication skills, able to translate complex ideas into accessible
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, breeding, genotyping, weaning, and general care, cell dissociations, cell culture, mouse surgery, mouse behavior, chemical and molecular assays, PCR, and RNA-sequencing. Contribute to data analysis and
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will contribute to developing and evaluating state-of-the-art methods for predicting mental health outcomes from multi-modal clinical and digital health data. This position offers the opportunity to work
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Duke University, Electrical and Computer Engineering Position ID: Duke-Electrical and Computer Engineering-POSTDOC_MGORLA [#31868] Position Title: Position Type: Postdoctoral Position Location
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Duke University, Electrical and Computer Engineering Position ID: Duke-Electrical and Computer Engineering-POSTDOC_YIRAN [#31802] Position Title: Position Type: Postdoctoral Position Location