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. You have strong programming skills in C/C++, Python, and/or Matlab. Knowledge of machine learning libraries (e.g., PyTorch or TensorFlow), SDR hardware (e.g., USRP, ADALM-Pluto) and software (e.g
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collections, in collaboration with Plazi and the Biodiversity Heritage Library. Strengthening the Connection Between Experts and Collections Contributing to the development of a digital platform that connects
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radiative transfer modelling (2) explore the near-real time inversion of remote sensing of forest disturbances using emulation (3) use a library of digital twin forests to understand the uncertainties in
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