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, utilizing shared campus and national laboratory facilities to support advanced analytical techniques and ensure comprehensive data collection. Essential Function Yes Percentage of Time 20 Job Duty Communicate
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collaborate with PhD and other post doctoral fellows, in cross-disciplinary collaborations with other research groups both national and international as well as with industrial partners. Qualifications A PhD
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: bacteriology, fluorescence microscopy, electron microscopy, antibiotic assays, biochemical purifications, biochemical assays such as binding assays and protein gel electrophoresis, as well as analytical methods
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executing experiments, data analysis, laboratory record keeping, and oral and written presentation of experimental results. The research associate will be expected to work collaboratively with other staff
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analytical sciences. We are looking for talented people to join us. Your responsibilities include: Interdisciplinary research within the project "Complex and Competing Phenomena in Recycled Flame-retardant
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supervise junior researchers. Uphold best practice in ethics, data management, and research governance. About You To demonstrate at least one of the following : A PhD (or near completion) in computer science
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background in Statistical Mechanics and to mostly focus on analytical work and the development of novel quantitative methods for active matter, and to a lesser extent, on computer simulations of active fluids
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doctoral/PhD studies in the field of Ancient Philosophy Outstanding dissertation Research competence and initiative proven through international publications, preferably in peer-relevant media Thorough
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 5 hours ago
to scientific data analysis. Development of secondary projects which foster collaborations with other researchers both at NASA Ames and externally is also encouraged. Field of Science: Earth Science Advisors
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using public and proprietary data as well as sensitivity analysis of analytical modelling results against known outcomes. The developed models will then be applied to examine the impacts of various