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teaching, as well as in facilitating active learning. Description of Duties: (1) Develop and present a lecture on mass spectroscopy and proteomics on January 13 (10am-12noon) and run the corresponding
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such as multimodal and single-cell imaging, translational neuroimaging, high-throughput metabolomics, proteomics and genomics, pre-clinical biotherapeutic production, pre-clinical modeling and animal
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' disciplines such as: genomics, epigenetics, transcriptomics, network signaling, metabolomics, interactomics, lipidomics and proteomics. The course will begin with a set of general lecture overviews
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workflows. Qualifications PhD in Computational Biology, Genomics, Biomedical Engineering, Neurosciences, or related fields. Proven expertise in single-cell or spatial transcriptomic/proteomic data analysis
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collaborators to integrate multi-omics (genome, transcriptome, proteome, metabolome) and clinical data Maintain high quality of detailed research data recording and analysis Provide mentorship and training