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of a mentor, the participant will use a range of phylogenetic methods (including Bayesian) to study how interspecies transmission, genomic reassortment, and farm production practices affect the evolution
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exceeding $2.5 million. Research activities are conducted in multiple research laboratories at the Department and research centers in the College and the University. Job Description: The Department
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-effectiveness. The project involves field sites in multiple countries, including Uganda, Zambia, Vietnam, India, and the Philippines. Skills of interest include international field site management, data
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scale linked data from multiple restricted sources Familiarity with restricted data, privacy confidentiality protections, and negotiation of data use agreements with academic, corporate, federal, and/or
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analytical skills are required. Advanced competence in multiple approaches, such as neural ODEs, LLMs, bayesian, Lasso, large language models, and ensembling methods is required Experimental Immunologist
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analytical skills are required. Advanced competence in multiple approaches, such as neural ODEs, LLMs, bayesian, Lasso, large language models, and ensembling methods is required Experimental Immunologist
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University of California San Francisco | San Francisco, California | United States | about 2 months ago
sites in multiple countries, including Uganda, Zambia, Vietnam, India, and the Philippines. Skills of interest include international field site management, data management and human factors research. As
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, and model evaluation. An understanding of epidemiologic principles, arboviral transmission dynamics, MCMC and Bayesian modeling, and prevention/intervention design. An understanding of data acquisition
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Expertise in data science, network science, and/or advanced statistical methods for constructing and analyzing large scale linked data from multiple restricted sources Familiarity with restricted data
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sources, including developing a Bayesian Hierarchical Modeling framework; (2) using integrative modeling approaches to characterize heterogeneous protein assemblies structures and dynamics; (3) developing