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determination with cryo-EM and subsequent data analysis. The candidate will also apply biochemical analysis methods (for example, APEX and proteomics). The candidate is expected to work independently and
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to outstanding facilities of Genomics, Genetics, Proteomics, Confocal and high-content imaging, Histopathology, Analytical Chemistry, Flow Cytometry, etc. The position is based in the Gliniak lab
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 10 days ago
core laboratories for research computing, macromolecular structure and interactions, sequencing, proteomics, metabolomics, animal models, functional genomics, quantitative imaging, as well as others
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of the proteome and manipulate protein targets and their function. Ultimately our work helps to identify novel biological mechanisms underlying diseases, such as cancer, and to subsequently develop innovative
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expertise and/or area of interest, e.g., genomics, proteomics, cancer biology, developmental biology, neurobiology, and microbiology, This position is subject to the University's background check policy
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CRISPR screening, single-cell transcriptomics, proteomics, metabolomics, and network reconstruction. Former trainees of the Chi lab have been principal investigators in multiple academic institutions
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on the university's doctoral student pages https://www.gu.se/en/doctoral-studies Duties Doctoral education in Medical Science comprises carrying out a scientific project and completing at least 30 credits of courses
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immunohistochemistry, RNAseq, RNAscope, and state of the art spatial proteomic/transcriptomic technologies – Nanostring, GeoMx, DSP, and CosMx SMI. The identification of specific immune system and microbiome targets
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approaches, the project will assess plecstatin-induced changes in cytoskeletal organization, cell mechanics, and tumor cell behavior. These analyses will be complemented by quantitative proteomics to identify
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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