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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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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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cryo-EM workflow, including sample preparation/freezing, data collection, processing, and atomic model building. Biochemical/Biophysical Characterization: Managing protein engineering (cloning
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Position Description The Signal Inference, Information and Learning (SIIL) Group is seeking a Postdoctoral Researcher to perform research in the area of statistical signal and array processing with
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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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biology, biochemistry, cancer genomics, histopathology, bioinformatics, imaging, and cell biology. Specific research projects will be developed jointly with the Principal Investigator based
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leading experts in autism research, computer vision, machine learning, psychiatry, and developmental science to develop innovative technologies that improve how caregiver-child interactions and
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information for at least three professional references. References will be contacted only at a later stage of the process. Occupational Summary The Marine Geospatial Ecology Lab (MGEL) at Duke University seeks
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closely with Dr. Di Talia and collaborators during the manuscript preparation stage and during the revision process Choose Duke. Why our lab and why Duke? The successful postdoctoral fellow will have the
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Conduct independent and collaborative research investigating the molecular and cellular mechanisms of vision. Study the biological processes responsible for building and maintaining the specialized light