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The SSHRC-funded HubMeta Lab project is undertaking the largest-ever meta-analysis of SME growth studies (over 2,500 full-text articles coded to date). We have uncovered extraordinary variability in
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AgriLife and make a difference in the world! Position Information This position provides leadership to the modeling and analysis of historical data on groundwater extraction and agricultural irrigation in
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-, and post-procedural data collection, CTA measurements, and ultrasound interpretation. Develops clinical research studies and conducts data collection, data analysis and interpretation in advance aortic
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of mental health, acute/chronic and pain related conditions, including sickle cell disease. · Data Collection & Analysis: Design and implement data collection strategies, including qualitative and
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with the data collected; Preparation of results for manuscripts and publication; Assisting the PI in the organization of research project workshops; Liaise with Quantitative Analysis Center (QAC) on data
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Max Planck Institute for Brain Research, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | about 4 hours ago
candidate has excellent quantitative and data analysis skills, a proven ability to work independently, and a collaborative mindset. They will be expected to lead their own research projects, contribute
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. Evaluating environmental sustainability via Life Cycle Assessment (LCA) and techno-economic analysis. Contributing to the integration of vanadium flows within a circular economy model for battery materials
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of Applied Social Sciences (DASS) seeks applications for up to two (2) Post-Doctoral Fellows within the Rural and Farm Finance Policy Analysis Center (RaFF) at the University of Missouri. RaFF provides U.S
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-on experience with LC-(ESI)-MS/MSwith metabolomic or proteomic samples is highly desired Experience in metabolite and protein extraction, MS data analysis tools and gel electrophoresis techniquesis highly desired
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analysis of data including measures of pupil dilation, microsaccades, and behavioral measures of speech perception. Experience with data collection and statistical modeling of time-series data are essential