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biochemistry techniques in weed science is essential Ability to use R statistical program or python is required Expectation of experience in computational tools and unix for analyzing and visualizing large data
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the development of reports, graphs, charts, and other visuals required. Proficiency in Word, Excel, and PowerPoint required. Preferred Qualifications: Focus on environmental epidemiology and cancer research
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mentorship of students from a diverse background of countries, cultures and socioeconomic conditions; three confidential reference letters (one addressing teaching effectiveness). All documents aside from CV
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students at Cornell University. This position will require a passion for visual design, continuing education, online training and attention to detail, leadership abilities, and problem-solving skills. Strong
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to Professor Bas Rokers. Linking Retinal, Neural, and Perceptual Deficits in Visual Disorder: Individuals in the UAE are at substantial risk for perceptual deficits due in part to one of the highest diabetes
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. The Macroeconomist will utilize advanced techniques including partial equilibrium or CGE modeling of trade flows for scenario analyses, and GIS (Geographic Information System) capabilities to map and visualize
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. Familiarity with techno-economic analysis. Experience with scientific programming languages (e.g., R, Python, Java) and statistical software (e.g., Stata). Ability to create visualizations to effectively
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responsibilities: Designing and leading analyses to integrate genetic and molecular data in various populations, taking advantage of the exceptionally rich data available at the Centre; Developing effective ways
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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | about 1 month ago
addresses these fundamental challenges by employing single-molecule fluorescence microscopy to visualize mRNAs in their cellular context. Coupling these techniques with genetic and molecular biology
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thermography cameras, drones, and EEG as well as advanced computing and visualization systems such as CAVE (an immersive visualization facility),VR, and AR and computing clusters for data intensive research