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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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10th May 2026 Languages English English English We are looking for a PhD Candidate in spectroscopic ocean colour remote sensing Apply for this job See advertisement This is NTNU NTNU is a broad
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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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) - experience of some type of remote sensing - knowledge of agriculture - knowledge of biodiversity, biological communities, and different habitats - experience in calculations, statistical methods, and modelling
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GIS software (e.g., QGIS, ArcGIS). Basic understanding of physical snow modelling approaches and how they differ from and can complement snow monitoring (in situ, remote sensing). Experience in
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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
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-term contract is based on § 2 WissZeitVG. Your Tasks: You will conduct research in the field of experimental atmospheric physics, with a focus on optical remote sensing of the atmosphere up to the edge
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skills in remote sensing, AI, ecological modelling, and policy engagement, working across disciplines and continents. The project includes an industrial supervisor to support non-academic training and
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embrace diversity as one of our core values and we actively engage to be a university where you feel at home and can flourish. We value different perspectives and qualities. We believe this makes our work
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quantify these changes, identify their causes and describe their impacts on biodiversity and ecosystem services. To do this we use a combination of diverse methods, from empirical research to remote sensing