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Field
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preserved fossils from NW Canada in the Museum's research collection, including the imaging, microscopy, sample preparation and geochemical analysis. Examine existing collections for related material and
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histochemical staining of tissues, evaluation of tissue response/interactions using fluorescent microscopy (confocal) imaging. Expertise in western blotting, quantitative RT-PCR is a plus. Strong ability to
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, microscopy imaging, systems engineering, and biophotonics. We are committed to providing all members of our group a collaborative, supportive, and motivating academic environment with abundant opportunities
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ultrastructural methodologies at the heart of this project using cryo-electron tomography (cryo-ET) combined with cryogenic correlated light and electron microscopy (cryo-CLEM) and cryo-focused ion beam (cryo-FIB
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and Microscopy under a project on Learning Spatiotemporal Motifs In Complex Materials. The main responsibilities of the position include: - Conduct cutting-edge research at the intersection of AI and
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., electron microscopy, spectroscopy, surface analysis) You will be motivated to work in a multidisciplinary research environment, collaborating with researchers across engineering, materials science, and
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multidisciplinary work. Experimental work will include microbiology, surface biofunctionalization, microfluidics and microscopy. Previous experience in one of these fields will be appreciated, good experimental
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expertise in DNA, RNA, and miRNA analysis using PCR, real-time PCR, and qPCR. Proficiency in cell culture, flowcytometry, confocal microscopy, and tissue handling is desirable. Experience with single cell
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organisms. You will have access to brand new, state-of-the-art imaging and microscopy facilities, as well as a stimulating, interdisciplinary working environment. Good working knowledge of experimental
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, CRISPR genome editing, CUT&RUN/ChIP, scRNA-seq/scATAC-seq, super-resolution/expansion microscopy, calcium imaging, proteomics, hydrogel fabrication/characterization, bioprinting and computational modeling