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analysis and interpretation of multidimensional microscopy datasets, integrating image processing, spectroscopy, diffraction, and computational methods to extract meaningful scientific insights. 3) Lead the
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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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, neuroinflammation, tau and α-synuclein pathobiology, digital pathology/AI image analysis, and mouse models of neurodegeneration. Education: A recent Ph.D. (less than 2 years of postdoctoral experience is strongly
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research by visiting https://www.theoliverlab.com/ or searching "Oliver TG" on PubMed. Minimum Requirements: Ph.D. in Cancer Biology, Cell Biology, Molecular Biology, Biochemistry, Genetics, Immunology
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work at the intersection of systems neuroscience, neurophysiology, imaging, and computational analysis to uncover how motor cortical circuits support learning and memory. Be You. You will contribute
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. You will be co-mentored by Dr. Jason Somarelli, a PhD basic scientist, Dr. Andrew Armstrong, an MD medical oncologist. Minimum Requirements: PhD degree with a background in cancer immunology, prostate
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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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, innovation, and scientific excellence. What You'll Bring: Required Qualifications MD, PhD, or equivalent doctoral degree in Clinical Neurophysiology, Epilepsy, Neuroscience, Neurology, Biomedical Sciences
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proteostasis, cytoskeletal dynamics, and ferroptotic cell death. This collaborative work combines biochemistry, chemical biology, cell signaling, live-cell imaging, and organotypic brain slice models to dissect
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, generous retirement benefits, and a wide array of family-friendly andcultural programs to eligible team members. Learn more at: https://hr.duke.edu/benefits/ Equal Opportunity Employer: Duke is an Equal