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on occurrence data, chemical properties, environmental persistence, mobility and available samples; ii) applying target, suspect and non-target screening using LC-HRMS to identify known and previously
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Transportation) Center research, collaborating with consortium universities and local DOT partners on pilot projects, data fusion efforts, and translational research that leads to publications and
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observational field data, experimental data, and field experiments. Salary is $70,500 annually, plus benefits. Expected start date is mid-June 2027. For examples of our research, see our faculty pages: https
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quantitative methods, data analysis, or modeling is an advantage Very good command of written and spoken English with extensive vocabulary is required (at least C1 level according to the CEFR ), ideally
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-sector partners. Methods will include field experiments and forest inventories, measurements of stand development and tree growth, spatial data and GIS, and statistical analysis in R. About the
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develop a physics-informed digital-twinning approach to better characterize these dynamics and estimate relevant electrical and control parameters from transient voltage and current data. Your tasks will
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 25 days ago
anomalous state. We are seeking a postdoctoral scholar to conduct in-depth analysis of stratospheric data, using data from the Microwave Limb Sounder (MLS) as well as complementary datasets like the
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for a postdoctoral fellow position in the Laboratory of Systems Pharmacology ( LSP ; https://labsyspharm.org/ ), part of the Harvard Program in Therapeutic Science, at Harvard Medical School in
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dialogues, analyses of spatial data, validation and testing the indicators on case-studies. You will develop maps of nature values to contribute essential knowledge for sustainable marine coastal planning and
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experience through field experimentation, data processing, statistical analysis, scientific writing, and the communication of research findings. You will work closely with researchers at SLU and with