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Field
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of asphalt mixtures, field data analysis and calibration using case-road tests. The candidate will work in close cooperation with the Norwegian Public Roads Administration (Statens Vegvesen) to achieve
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for research and data analysis purposes (e.g. Python or similar languages), experience with eye-tracking or physiological sensing methods, as well as strong numerical and analytical skills. Competent in general
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of amyotrophic lateral sclerosis (ALS) by advancing research on disease occurrence and potential risk factors. You will participate in efforts to improve the collection, integration, and analysis of national
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, Analysis, and Services Program (GRASP) scientists. Learning Objectives: When training with the SSS, under the guidance of a mentor, you will further your understanding of micro- and nanoplastics (MNPs) and
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characterization, data analysis, and interpretation, ensuring alignment with project objectives and timelines. Configure, operate, and optimize experimental setups for nanophotonic and optoelectronic measurements
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recirculating flumes, velocity measurement systems, spectroscopic tools, and numerical modeling platforms, to investigate hydrologic and sediment processes. Works closely with USGS scientists and University
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recommendation of CDC and is contingent on the availability of funds. Level of Participation: The appointment is full time. Participant Stipend: Stipend rates may vary based on numerous factors, including
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TheClimate and Ecosystem Sciences Division at Berkeley Lab seeks a Pantropical Vegetation Dynamics Postdoctoral Fellow to combine observational synthesis, ecological theory, and numerical models
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), analytics (SEC-MALS/A4F) as well as spectroscopy (NMR/fluorescence/UV/vis) – all supported by quantitative data analysis. The PhD candidate will contribute to bridging research activities across groups based
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the BioPermit information technology system and electronic database. Build skills in data management, analysis, and visualization of trends related to infectious biological-agent importation. Gain exposure