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University of California, Los Angeles | Los Angeles, California | United States | about 22 hours ago
) to manage and improve computational pipelines. Data Storage and Management: Experience in managing large-scale -omics data, including data storage, organization, and inventory across multiple platforms
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• Proficiency in at least one statistical software (e.g., R, Stata, SPSS, Python) • Expertise in quantitative analysis, with preferred skills in o Quasi-experimental evaluation techniques (e.g., Difference-in
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within the team under the Principal Investigator Assistant Professor Borame Dickens alongside multiple collaborators and experts. Methods include agent based/individual based modelling, SEIR modelling
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artificial neural networks and fuzzy systems for KPI aggregation; Knowledge in data engineering, Python, and real-time data analysis. Generic Scientific Area: Electrical Engineering or Computer Engineering
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storage, organization, and inventory across multiple platforms. Strong skills in record-keeping, facilitating data upload to online repositories, and ensuring data integrity and reproducibility. Data
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research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which
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advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic. Benefits Highlights * Medical: Multiple plan options. * Dental: Delta Dental or reimbursement account for
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) structural and cultural determinants of well-being and mental health in national and global cohorts. The postdoctoral research fellow will contribute to multiple research projects by engaging in the following
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years and in the relevant areas of Machine Learning / Artificial Intelligence, Credit Risk Modeling and Operations Optimization Modeling; The candidate must have strong programming skills in Python, and
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research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which