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at other academic institutions. Individual will develop and test novel computational models of the neural activity generated by electrical stimulation of the brain. Also, perform data analysis utilizing
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colleagues across the Duke research community. Required Qualifications: Education/Training- PhD, physics, mathematics, quantum information/mechanics Experience- Preferred--device design, fabrication and
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, United States of America [map ] Subject Area: Chemistry / Polymer Appl Deadline: 2026/01/30 11:59PM ** Position Description: Apply Position Description Postdoc position in polymer informatics. A postdoctoral position is
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. Individual will develop and test novel computational models of the neural activity generated by electrical stimulation of the brain. Also, perform data analysis utilizing medical imaging data, computer models
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across the Duke research community. Required Qualifications at this Level Education/Training: PhD in Physics, Electrical/Computer Engineering/Quantum Engineering or equivalent Duke is an Equal Opportunity
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Nursing (MSN), Doctor of Nursing Practice (DNP), and PhD in Nursing. Our programs are designed to meet the evolving demands of today’s healthcare landscape, equipping graduates with rigorous training
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associate will design and implement experiments, collect and analyze data, and summarize the study as presentations andmanuscripts. DEFINITION: The Postdoctoral Appointee holds a PhD or equivalent doctorate
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simulations at the intersection of subatomic physics and quantum information science. The successful candidate will also lead peer-reviewed publications and develop computational methods to interpret complex
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Postdoctoral Researcher to work on projects related to digital holography and optical coherence tomography. Candidates should have a PhD in electrical or biomedical engineering or related disciplines with
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future quantum simulations at the intersection of subatomic physics and quantum information science. The successful candidate will also lead peer-reviewed publications and develop computational methods