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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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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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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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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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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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, 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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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
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postdoctoral Research Associate (computational biology and bioinformatics area) position is open at Duke University School of Medicine in the lab of Dr. Yi Zhang starting Mar 2025 or later. The ideal candidate
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may include teaching responsibilities. The appointment is generally preparatory for a full-time academic or research career. The appointment is not part of a clinical training program unless research