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* Experience in one or more of: AAV/vector biology, in vivo gene delivery, mouse models/surgery, single-cell/spatial transcriptomics, ATAC-seq, microscopy, quantitative imaging, computational analysis (R/Python
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environment in which people treat each other with respect and dignity, regardless of roles, responsibilities or differences. Providing support, direction and resources enabling us to accomplish the
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, machine learning and AI-based computational tools to advance biomedical as well as oncology research. The fellow will work under the supervision of Dr. Veera Baladandayuthapani and there will be
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programs, and career development workshops. Required Qualifications* PhD in Biomedical Sciences (Cancer Biology, Immunology, Metabolism, Physiology, Molecular Biology, or a related field). Significant
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vigorous exchange of ideas and information, not only in the classroom but in the workplace by: -Creating a work environment in which people treat each other with respect and dignity, regardless of roles
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years of research experience in biology or a related discipline. Publication record demonstrating computational skills in image processing or genomic data analysis. Proficiency in rodent neurosurgeries