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3 Fully Funded PhD Students positions!đź“Ť Remote Sensing Laboratory, McMaster University, Hamilton, Ontario, Canadađź—“ Start Date: Spring or Fall 2026The Remote Sensing Laboratory at McMaster
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, Geoscience, Remote Sensing, Hydrology, Data Science, Physics, or related fields • Experience in machine learning (ML), artificial intelligence (AI) or related fields • Software skills in ML languages such as
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of mountain forests in the Alps. The current position will be part of the Centre for Forest Management in the Alps, and will work in the subproject 4, remote sensing of mountain forest dynamics (Prof. Dr
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-driven simulations, optical remote sensing and biogeochemical modeling to predict seagrass distribution under various climate and nutrient scenarios. SEAGUARD aims to provide science-based recommendations
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, while simultaneously monitoring their progress remotely. In addition, we want to determine if personalizing training based on brain data provides an advantage. To address the latter challenge, the PhD
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impact and adaptation analyses, and for spatio-temporal modelling as well as upscaling of ecosystem properties via remote sensing Interactive collaboration and exchange within the TUM Center for Forest
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degree in atmospheric science, physics, environmental sciences, remote sensing, or a related field. Strong analytical and problem-solving skills, with interest in linking satellite data and atmospheric
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an exciting opportunity to join a leading consortium at the cutting edge of satellite remote sensing, high-resolution plume modelling (MicroHH), and atmospheric chemistry transport models (LOTOS-EUROS, ECHAM
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dedicated to digital transformation in healthcare, sports, food, and environmental monitoring through advanced (bio)chemical sensing, combining electrochemistry and imaging technologies. Led by Prof. MarĂa
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. However, to ensure economic viability with off-peak times and relatively remote locations, while increasing the attractiveness to the users, we need innovative designs where fixed and flexible services