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arising from those data sources and formulate modelling strategies on how to take into account for those Estimate small area models and produce maps after assessing modelling results Produce Open Source R
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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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publications), and or other textual data Knowledge of, or strong interest in AI, digital technologies, and their applications Proficiency in programming languages (e.g., Python, R) and data analysis Ability
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experience with R and/or with other types of programming (e.g. Python or Matlab). You are a creative and critical researcher and are motivated to pursue an academic career. You are able to contribute to a
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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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(e.g. Presentation, PsychoPy, E-Prime, Gorilla). You have experience in data analysis, visualisations and programming in R and/or Python. You have experience with statistical models (e.g. mixed-effects
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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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to this vacancy will not be appreciated. Would you like more information? Dr R. van Oers (Ricky) ricky.vanoers@ru.nl Last modified: 03 July 2025 Share this page Facebook WhatsApp Mastodon Twitter LinkedIn E-mail
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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