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learning, and data science, focusing on applications within the healthcare, education, and environment sectors. Designs generative AI techniques and algorithms for data integration and computational models
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, data science, differential equations, mathematical logic, mathematical physics, numerical analysis, neural networks, representation theory, and topology, with potential interdisciplinary applications
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in Good Clinical Practice. REDCap, data collection and data entry experience also preferred. Special Instructions Application materials include an updated CV, a cover letter describing research
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set-up, and data collection and analysis. - Have the ability to analyse and interpret data using appropriate statistical packages (e.g., conducting linear mixed effects models in R). - Have experience
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Biology — enormous advances in global genome analysis coupled with unprecedented developments in interdisciplinary research have made the 21st century the Century of Biology. For more information about the
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scientific liaison for day-to-day oversight of research activities between Harvard Medical School and project sites in Texas, including conducting and leading data analyses across the study components; ability
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of p62/SQSTM1 bodies releases Keap1 and suppresses Nrf2 signaling, EMBO Reports, 22: e50854, 2021. (Featured as the cover story in Jan, 2021 issue: https://doi.org/10.15252/embr.202050854) 7. H.C. Chang et
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set-up, and data collection and analysis. Have the ability to analyse and interpret data using appropriate statistical packages (e.g., conducting linear mixed effects models in R). Have experience
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the Dragonfly Polarimetry project team, focusing on scientific analysis of polarimetric data and data pipeline modification to advance our understanding of interstellar magnetism and related phenomena. The state
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; perform downstream bioinformatic analysis using appropriate tools (e.g., Seurat, Scanpy, Cell Ranger). • Analyze whole genome sequencing data sets • Collaborate with clinicians, computational biologists