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University of California, Los Angeles | Los Angeles, California | United States | about 22 hours ago
Skip to main content Recruit Home Open Recruitments Visiting Researcher (JPF10537) Visiting Researcher Apply now to Visiting Researcher Job #JPF10537 Computer Science / Henry Samueli School Engr & Ap
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, behaviors, tools, and methods employed in the innovative activity of individuals and organizations to drive desirable outcomes from inspiration to impact. Learn more about this emerging field and exciting
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that field. Your most important activities in this position will be: Developing, improving and harmonising LCA methods, databases and tools to measure environmental impacts in projects in which clients
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methods for causal inference in observational data, is strongly preferred. Using various existing large datasets with rich information for knowledge synthetisation and triangulation over the course of the
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. The researcher will use statistical methods such as multilevel models and multivariate analysis of variance to take into account key variables and covariates to study the impact on students’ outcomes
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Trust. The successful candidate will work closely with the PI and a PhD student within a larger cross-disciplinary team to construct a quantitative computational model of carbonate biomineralisation
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to perform phenotypic assessment of editing outcomes Analyze experimental data and interprets results. Apply statistical methods to analyze data from experiments, that includes next-generation sequencing data
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, computer science, bioinformatics, or o ther related disciplines is required. Strong interest, research background and experience in the methodology research in functional data analysi s, tensorregression, high
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on an individualized-level and development of methods to handle high intra-disease and inter-subject heterogeneity. The successful applicant will carry out a wide range of duties including developing, optimizing and
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journal articles; development of project leadership skills; NIH and DoD grant submissions; quantitative, qualitative, and mixed methods training; community-based participatory research, and formalized