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experiments (synthesis, thin film fabrication, instrumental analysis) Instrument cleaning Ordering reagents and supplies Maintenance and management of equipment Data organization and analysis using PC Drawing
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Midlands Graduate School Doctoral Training Partnership | Leicester, England | United Kingdom | 3 months ago
Bridger (University of Leicester) and Dr Richard Tunney (Aston University) and will develop the candidate’s advanced quantitative skills in formal mathematical modelling and simulation, experimental design
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project that centres on the analysis of host-pathogen interaction mechanisms of viral infections and vaccination. Specifically the project investigates novel vaccines against AHSV. The postholder needs
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Science Foundation funded STEM (Science, Technology, Engineering and Mathematics) Academy. As the second oldest land-grant institution in the state of Arkansas, the mission of this No Excuse University
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, Engineering, Environmental Protection, Fine Arts, Genomics, Geophysics, Indigenous Affairs, Mathematics, Population Health, Public Policy, Statistics, Sustainability, Unmanned Aircraft Systems, and Veterinary
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report writing and statistical analyses, and possesses a basic understanding of multivariate statistics, including multiple regressions, factor analysis, and statistical tabulations on Excel and charts
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for BrainHealth. Primary responsibilities include (but are not limited to) coordinating research staff and lab activities (recruiting participants, data collection, data entry and analysis), monitoring compliance
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research team, you will contribute to complex research activities including data collection and management, quantitative and qualitative analysis, systematic reviews, ethics submissions and preparation
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4. Prior experience of utility of high throughput assays, particularly high content imaging, including analysis 5. Proven ability to analyse complex information and summarise appropriately 6. Ability
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covered by our academic staff, such as South Asia, Southeast Asia, Europe, and the Americas. Applicants with expertise in digital methods for historical analysis, as well as knowledge and practical skills