52 digital-image-processing-phd-scholarship Postdoctoral research jobs at Duke University
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, and behavioral measures. · Collect, process, and analyze multimodal datasets, including neural, physiological, and motion-tracking signals. · Develop and refine research protocols and methodologies in
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Training Program. This position will be funded by our NIDDK T32. Eligibility: U.S. citizenship or permanent residency required PhD applicants must have been awarded their degree or anticipated prior to June
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collaborative environment at Duke is ideal for our multi-scale modeling research efforts. An earned PhD and previous experience in computational neurostimulation modeling are required as are excellent
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subsequent year contingent on performance. The start date is flexible, but ideally by September 2024. Requirements: Candidates should have: • A PhD in engineering, environmental science, environmental
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: Engineering / Biomedical Appl Deadline: none (posted 2025/03/04) Position Description: Apply Position Description The lab of Nimmi Ramanujam, PhD has an immediate position for a postdoctoral research
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· Possess the knowledge of basic research integrity, values of ownership of a research project, and follow timelines to achieve deliverables Requirements: · MD, MBBS, PhD (with clinical research experience
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advanced techniques in synthetic biology, genetic engineering of human gut bacteria, multi omics and high-throughput anaerobic bacterial culturing. Qualifications include a PhD in biology or engineering. The
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. This is a full-time position with University Benefits and provides exceptional opportunities for interdisciplinary research and career development. Success candidates must… · Hold a PhD in engineering
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require self-direction and the ability to work effectively with other team members, undergraduate, graduate, and other post-doctoral researchers in the in lab. Candidates must have obtained their PhD in a
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Associate will work closely with Dr. Salter (PI) and be involved in all aspects of the research process. Research conducted within SPARCL will focus on the bi-directional relationships between collective