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/organisation/geohyd and https://www.mn.uio.no/geo/english/research/groups/remotesensing ). We are a growing, lively, friendly and collaborative research environment in cold regions sciences, in
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environmental benefits and climate resilience. The major limitation in this debate is however the lack of comprehensive empirical data which is a prerequisite for developing well-constrained
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group led by Dr. Marvin Meyers in the Department of Chemistry (https://www.slu.edu/science-and-engineering/academics/chemistry/faculty/marvin-meyers.php). This work involves the organic synthesis of new
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online application for Lab Technician – https://jobs.tulane.edu/position/IRC21132 or Lab Assistant – https://jobs.tulane.edu/position/IRC21130 . Send your CV to Dr. Li at [email protected]
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NSF-Simons National Institute for Theory and Mathematics in Biology | Chicago, Illinois | United States | about 20 hours ago
well as to allow video information to be shared for both marketing, analytics and editorial purposes. By accepting optional cookies, you consent to the processing of your personal data - including
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operation in microgravity. Perform numerical modeling analysis to test and refine microfluidic devices and establish suitable data analysis tools. Advise and mentor graduate and undergraduate students on
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MIT | about 2 months ago
) Ph.D. scientists for postdoctoral positions in X-ray astrophysics and instrumentation. The successful applicants will work with the X-ray Detector Lab group at MKI ( https://sites.mit.edu
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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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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein-Westfalen | Germany | about 2 months ago
regulations. Further information on data protection and the processing of personal data can be found at: https://www.isas.de/en/datenschutz . The closing date for applications is August 19, 2026
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N2O from wetlands. We envisage combining process-based modelling and machine learning, as well as integration of Earth observation data into the modelling framework. The objective is to quantify the