65 electrical-machine-design-"https:"-"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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, and innovation. Application Materials Required: Current Curriculum Vitae (CV) Research Statement Contact information for 3-5 professional references At Duke, you'll find more than a research position
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, race, religion, sex (including pregnancy and pregnancy related conditions), sexual orientation, or military status. Duke aspires to create a community built on collaboration, innovation, creativity, and
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processes. Ensure consistency and accuracy across imaging datasets and labeling workflows. Machine Learning & Model Development Support the design, development, and optimization of machine learning and deep
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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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Partner with experts in child development, psychiatry, engineering, computer vision, and machine learning. Contribute to study design, scientific strategy, and interdisciplinary research planning. Work
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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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, 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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origin, race, religion, sex (including pregnancy and pregnancy related conditions), sexual orientation or military status. Duke aspires to create a community built on collaboration, innovation, creativity
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to iteratively refine models and optimize experimental design. Collaborate with another postdoc in the NIH Center to use scientific machine learning (SciML) to automatically select mathematical models from data