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Field
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demonstrated focus on comparative anatomy or neurobiology. Research Expertise: Proven experience in advanced histological techniques, specifically immunohistochemistry (IHC) and confocal microscopy, as evidenced
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, synthetic biology, genetic screening, computational approaches, and advanced microscopy. Projects are designed to be tailored to the scholar’s interests, and additional details can be discussed following
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media Experience with microscopy and image analysis (e.g. ImageJ, Python, MATLAB) Ability to work independently and collaboratively in an international research environment As a formal qualification, you
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techniques. Experience with quantitative microscopy, including protein labeling techniques. Willingness to work with animals on part-time basis. Excellent communication, writing, and teamwork skills. Preferred
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. Our lab applies advanced structural and biophysical methodologies including cryo‑electron microscopy (cryo‑EM), X‑ray crystallography, single‑molecule fluorescence, and enzyme kinetics to elucidate how
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techniques such as cryo-electron microscopy, tomography, kinetic assays, and computational analysis. Day-to-day work will include experimental design, data collection and interpretation, close collaboration
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, Computational Biology, Biomedical Engineering, Data Science, or a related field. Job Description: This Postdoctoral Associate will join the Computational Microscopy Imaging Lab (CMIL), led by Dr. Pinaki Sarder
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). Experience with advanced microscopy techniques, such as confocal and super-resolution microscopy (preferred). Fluency in English, both written and spoken LanguagesENGLISHLevelExcellent Research FieldBiological
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of human proteins in cell lines using immunofluorescence (ICC-IF) and confocal microscopy. The research group is also applying the latest methods for highly multiplexed immunostaining of cells and tissues
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of the upgraded APS, leadership-class computing at the Argonne Leadership Computing Facility (ALCF), and state-of-the-art microscopy at the Center for Nanoscale Materials (CNM). Candidates with a strong background