86 software-engineering-model-driven-engineering-phd-position Postdoctoral research jobs at Duke University
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equipment and software Duke University is an equal-opportunity employer committed to fostering a diverse and inclusive workplace. We encourage applicants from all backgrounds to apply. This position is Onsite
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Duke University, Sanford School of Public Policy - NRR Position ID: Duke-SSPP-NRR-POSTDOCJUELAND [#31862] Position Title: Position Type: Postdoctoral Position Location: Durham, North Carolina 27708
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Postdoctoral Appointee holds a PhD or equivalent doctorate (e.g. ScD, MD, DVM). Candidates with non-US degrees may be required to provide proof of degree equivalency. 1. A candidate may also be appointed to a
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Postdoctoral Appointee holds a PhD or equivalent doctorate (e.g. ScD, MD, DVM). Candidates with non-US degrees may be required to provide proof of degree equivalency. · A candidate may also be appointed to a
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digital health and multi-agentic coordination. This role requires the development of self-learning artificial intelligence models tailored for dynamic healthcare environments. The candidate designs and
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position. The lab studies cognitive control using behavioral/modeling, fMRI, EEG, and TMS approaches. The Postdoctoral Associate will build specifically on our ongoing research examining neurocognitive
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the position is filled. REQUIRED EDUCATION AND EXPERIENCE: DEFINITION: The Postdoctoral Appointee holds a PhD or equivalent doctorate (e.g. ScD, MD, DVM). Candidates with non-US degrees may be required
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collaborative and interdisciplinary environment with access to state-of-the-art radiochemistry facilities and imaging infrastructure. The position offers opportunities to contribute to translational research
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. Applicants with previous experience teaching anatomy at some level will be favored. This position requires a PhD. Appointment may be renewed annually based on performance and funding availability for up
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data, identifying structural errors in the dataset, and for maintaining a record of all steps from data extraction to dataset assembly · Fitting of machine learning models · Development of instrumental