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to apply Website https://phd.fbk.eu/calls/detail/artificial-intelligence-for-remote-sensing-imag… Requirements Research FieldOtherEducation LevelMaster Degree or equivalent Additional Information Work
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to join our world-leading research program in robotics, remote sensing, and data-driven approaches for sustainable agriculture. PhenoRob’s mission is to transform crop production by optimizing breeding and
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, Communication Engineering, Computer/Data Science, Mathematics, or equivalent; – knowledge in artificial intelligence, image/signal processing, remote sensing, and radar remote sensing. Where to apply Website
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 5 days ago
or Geoinformatics, or related areas and to be enrolled PhD. Candidates will be assessed according to the project team’s needs regarding geospatial data and remote sensing for analysis, interpretation, and application
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hold an MSc (or equivalent) in Remote Sensing, Geoinformation Science, Statistics, or a closely related discipline, and feel comfortable programming in Python/R? Are you a critical thinker who can assess
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responds to climate change in the past and present to improve future predictions of sea-level rise and Earth system feedbacks. The work combines collection of field data, remote sensing, and modelling in
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, ensuring mathematical robustness in the sense of entropy production and dissipation. The development of such a coupled framework is critical for applications including CO₂ and hydrogen storage, geothermal
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mathematical robustness in the sense of entropy production and dissipation. The development of such a coupled framework is critical for applications including CO₂ and hydrogen storage, geothermal energy
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(e.g. computer vision, deep learning, AI) and green life sciences (e.g., remote sensing, crop modelling, and food security), within the European funded project AgriscienceFM (Horizon programme), which
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into answering counterfactual questions. Using remote sensing multimodal time-series data and Earth foundation model embeddings, you will design and develop causal machine learning models tailored for dynamic