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of the nation’s key facilities supporting scientific ocean drilling research, and (2) strengthen our repository’s capabilities in modern data analytics, including spatial statistics, Bayesian approaches, and
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of the experimental approach will include: Bayesian reconstruction of events on billion-year timescales, determination of optimal embeddings and encodings for protein structures, multiple structural alignments
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research with young children Experience with computational methods (e.g., Bayesian modeling, drift diffusion modeling, etc.) Equipment Utilized Physical Demands and Work Environment Overview Statement
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to: (i) identify novel metabolic vulnerabilities in KRAS-mutant lung cancer using in vivo and in vitro screening approaches; (ii) validate identified targets in vivo and elucidate the underlying mechanisms
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. Demonstrated experience designing analytical frameworks, and experience using machine learning algorithms and Bayesian statistics within the R-language. Demonstrated experience managing project workflows and
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-risk HIV negative individuals targeting the PrEP eligible population. They will also serve as a backup to the lead HIV Pre-Exposure Prophylaxis (PrEP) Counselor. In addition, the Public Health
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novel metabolic vulnerabilities in KRAS-mutant lung cancer using in vivo and in vitro screening approaches; (ii) validate identified targets in vivo and elucidate the underlying mechanisms; and (iii
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of the Principal Investigator, the incumbent will work on a project in a laboratory dedicated to studying the molecular pathogenesis of Parkinson's Disease, identifying therapeutic targets and testing new
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-risk HIV negative individuals targeting the PrEP eligible population. They will also serve as a backup to the lead HIV Pre-Exposure Prophylaxis (PrEP) Counselor. In addition, the Public Health
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to high-risk clients and link to services. Works closely with the Program Coordinator to identify soft sites and mobile unit accessible locations, targeting 10% PrEP eligible population, interacting with