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methods to answer biological questions that arise in the research. Minimum Qualifications MD or Ph.D. in Basic Science, Health Science, or a related field. No experience required. Preferred Qualifications
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. in Sociology, Anthropology, Science and Technology Studies, Bioethics, or a related field. No experience required. Preferred Qualifications Experience with ethnographic research methods and in-depth
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are also developing novel machine learning methods to improve risk gene prediction and variant interpretation. This role will focus on the analysis of large-scale human genetics, scRNAseq, and proteomics
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, in vivo calcium imaging, viral gene delivery, opto- and chemical genetic and pharmacological methods, transgenic rodents, molecular/cellular neurobiology, omics (transcriptomics, proteomics and
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closely with our faculty to implement simulated results in the clinic and develop novel treatment methods. 3-Data Management & Analysis Manages and analyzes vast datasets related to radiation treatments
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with genomics methods (RNA-seq, RIP/CLIP, ATAC-seq, scRNA-seq) Demonstrated productivity through publications or preprints Excellent communication and organizational abilities Collaborative mindset with
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Computational Biology, Bioinformatics, or a related field (e.g. statistics, computer science, or quantitative biology). Experience in the application and development of computational methods/tools or machine
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include high-throughput molecular biology methods and/or machine learning development. Collects, compiles and analyzes data in a high quality and detailed manner. Ensures all experimental or computational
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. • Evaluates and analyzes data. Prior experience with general statistical methods and statistical software (eg. Prism) is preferred. Breeds and maintains mice for experimental purposes. Prior experience with
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cytometry, ELISA, multiplex, PCR/cloning/retroviral gene tranfer/library preparations, cytotoxicity assays (multiple methods), processing of peripheral blood and immune cells, production/maintenance