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                with a group of highly motivated scientists to employ interdisciplinary approaches such as retinal cell biology, functional genomics, imaging, and biochemistry. The Chen Lab has a well-recognized 
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                their degree in the near future) in Cancer Biology or a related field. Proficiency in experimental techniques such as cell/organoid culture, library construction, imaging and handling animal models. Experience 
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                Position Summary The Crewe lab uses a combination of mouse models, biochemistry, physiology, and cellular imaging, to study the regulation of extracellular vesicle (EV) production and how EVs signal 
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                vulnerability or survival during neurodegenerative conditions in vivo. Responsibilities of the postdoc will include, but are not limited to: in vivo imaging of biosensors to read out diversity and dynamics 
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                genetic analyses of amyloid imaging identify new genes for Alzheimer disease ”, Acta Neuropathol Commun, 2023 PMID: 37101235 Working Conditions: This position works in a laboratory environment with 
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                pluripotent stem cell (iPSC) cultures is advantageous. Knowledge of flow cytometry, cell sorting, high-throughput screening and cell-based screening (e.g., luciferase assays, high-content imaging, massively 
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                laboratory, which focuses on developing optical spectroscopy and imaging tools to solve global problems in reproductive health. The successful candidate will have the opportunity to work with a 
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                cytoskeleton and membrane trafficking. Utilize quantitative approaches to cell biology, including human stem cell culture, transfection fluorescence microscopy and image analysis Lab Environment: The Akamatsu 
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                , particularly in the areas of the actin cytoskeleton and membrane trafficking. • Utilize quantitative, biophysical, and computational approaches to cell biology, including fluorescence imaging, image analysis 
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                disease with a focus on Alzheimer’s Disease. Computational models will be developed that utilize data obtained from a wide range of experiments, from basic biochemical methods to advanced imaging techniques