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microscopy). - Understanding and modification of multi-sensor measurement architecture and control of multiple instruments (Bonsai, LabVIEW). - Data analysis in R and Python and creation of figures
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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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University of California, Los Angeles | Los Angeles, California | United States | about 19 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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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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and swine populations. The participant will have the opportunity to collaborate with multiple USDA ARS scientists and investigators within the University of Pennsylvania Center for Excellence in
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colitis and multiple sclerosis in the context of infections including EBV and CMV. To test hypotheses, they will generate new data as needed. Analyzed data will be used in the preparation of presentations
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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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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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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