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- European Space Agency
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- Wageningen University and Research Center
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. You have good programming skills in Python and/or R; you are familiar with reproducible coding and automated (geospatial) data analysis. You have excellent scientific writing and communication skills in
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interoperability. You may also propose alternative or extended research opportunities based on your technical background and specialisation. In addition, you will follow and contribute to ongoing R&D projects
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remote sensing/climate data. You have programming skills in Python and/or R; you are familiar with reproducible coding and automated geospatial data analysis. You have excellent scientific writing and
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. You have good programming skills in Python and/or R; you are familiar with reproducible coding and automated (geospatial) data analysis. You have excellent scientific writing and communication skills in
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minimum using a processor-in-the-loop setup). contributing to the roadmapping, definition and implementation of R&D studies dedicated to the use of machinelearning techniques for the development of GNC
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candidate would become an ARIA R&D creator. Responsibilities: Conduct foundational research on aggregation mechanisms, including: for-mal modeling and axiomatic analysis, computational complexity and algo
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due to climate change, as well as reservoirs, teleconnections, tipping points and fluxes of energy, water and carbon, while predicting future change. The CCI also addresses the R&D required to support
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for the development, implementation and maintenance of product assurance engineering and management programmes. It carries out technological research and development (R&D) in the fields of PA management, techniques
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Location ESTEC, Noordwijk, Netherlands Our team and mission The Data Handling Section provides functional support to ESA projects and carries out technological research and development (R&D
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Postdoctoral Researcher in Innovation&Investment Policy for Hydrogen Clusters in the EU(0.8-1.0 fte)
/or a publication; Experience in using statistical software (preferably Stata or R); experience with interview-based or case study research is a plus Demonstrated interest in applied microeconomics