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Field
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are an interdisciplinary research team that integrates single-cell and spatial genomics, lineage tracing, synaptic proteomics, functional perturbation screening, and machine learning to investigate how the human brain
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directions, as well as close mentorship tailored to career goals. Additionally, this position offers access to state-of-the-art facilities and core resources (e.g., imaging, flow cytometry, proteomics), and
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, blending basic science, translational studies, and clinical innovation with state-of-the-art facilities for genomics, proteomics, and AI-driven discoveries. For more information, please visit https
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advanced bioimaging (including super-resolution, confocal and electron microscopy), genomics, proteomics, metabolomics, high-performance computing and field research. We promote research at the interface
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. - Knowledge in the use of bioinformatics tools and databases (e.g., TCGA) and in the analysis of omics data (e.g., transcriptomics and proteomics). - Ability to work independently and to integrate
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(e.g., transcriptomics, proteomics, metabolomics) - Microscopy methods, FT-IR spectroscopy, or other analytical imaging techniques - Analysis of next-generation sequencing data - Programming skills (e.g
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microorganisms or environmental isolates Multi-omics techniques (e.g., transcriptomics, proteomics, metabolomics) Microscopy methods, FT-IR spectroscopy, or other analytical imaging techniques Analysis of next
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clinical research on pharmacology, toxicology, and exposure science. Dr. Bernstein’s research team has access to outstanding facilities of Genomics, Genetics, Proteomics, Confocal and high-content imaging
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discovery and validation (e.g., microRNA, proteomics, diagnostics) Translational animal models of disease Excellent skills in scientific communication, project management, and leadership Ability to work
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• Developing record of quality peer-reviewed publications Preferred Qualifications • Experience in single-cell transcriptomics and/or proteomics • Experience in immunology and synthetic RNA biology • Experience