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Field
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ecosystems are a central element in how humans are addressing their own survival. Lakes, rivers, wetlands, seas, oceans and melting ice caps are central elements of the ongoing ecological crisis linked
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scientists, and machine learning experts will be an essential and enriching component of the position. Strong candidates will have a background in machine learning and natural language processing (NLP), with a
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, cell suspensions, and cell-free extracts Microbial electrochemistry, including setting up and operating microbial fuel cells (MFC) under anoxic conditions Stable isotope labeling coupled to metabolomics
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, cell suspensions, and cell-free extracts Microbial electrochemistry, including setting up and operating microbial fuel cells (MFC) under anoxic conditions Stable isotope labeling coupled to metabolomics
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that you will apply include endogenous protein tagging by CRISPR and integrases, in-cell interaction proteomics by proximity labeling, subcellular localization by spatial proteomics and fluorescence
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immunofluorescence labeling techniques. Experience with cell culture, molecular biology, or live cell imaging. Familiarity with major imaging software platforms, including FIJI/ImageJ, Imaris, LAS X, ZEN, OMERO
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-molecule TIRF microscopy, biochemical reconstitution, and fluorescent labeling, we will observe individual RNA molecules and degradosome complexes in action, capturing millisecond-scale dynamics that shape
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Research Fellow to lead the Sydney component of an NHMRC Ideas Grant testing the "Ribbon Cable" hypothesis: that molecularly distinct subtypes of petrosal ganglion neurons form dedicated, modality-specific
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. Pulmonary nodules from hundreds of patients are being collected and biopsied as part of a prospective imaging study. Up to 40 FFPE biopsy samples will be analyzed using spatial transcriptomics and mutREAD DNA
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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