65 electrical-machine-"https:"-"https:"-"https:" Postdoctoral positions at Duke University
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the development of new imaging protocols. Minimum Requirements: Ph.D. or equivalent doctorate (e.g. Sc.D., M.D., D.V.M.) in biomedical engineering, electrical or computer engineering, medical physics
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electrical stimulation. Assess mitochondrial function and cellular respiration through mitochondrial stress testing methodologies. Utilize techniques including qPCR, Western blotting, histology, proteomics
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effective in leading discussions about project status and current results in audio and video calls and in-person meetings, and communicating the same in formal and informal written reports. The ideal
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interests, and fit with HARP. ● Current curriculum vitae. ● A 1-2 page research statement about what research related to the job description you would be most excited to pursue, and why you are qualified
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development of machine learning tools and their applications to medical imaging. Key Responsibilities: The Post Doctoral Associate will apply their technical skills toward the development, implementation, and
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conduct research studies involving patients undergoing SEEG monitoring. Design and implement intracranial electrical stimulation experiments to investigate neural mechanisms underlying epilepsy and sleep
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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, Ophthalmic Imaging, you'll play a
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, predictive modeling, machine learning, and causal inference methods. Experience with claims-based or EHR-based phenotyping, variable construction, treatment pattern analyses, healthcare utilization studies
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leading experts in autism research, computer vision, machine learning, psychiatry, and developmental science to develop innovative technologies that improve how caregiver-child interactions and
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join a highly collaborative, interdisciplinary research environment focused on developing and applying cutting-edge machine learning and deep learning methods to abdominal imaging. Working alongside