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Field
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translate into concrete health outcomes. The BRANCH project wants to change that. By combining conceptual work on green space typologies, advanced geospatial analytics, AI-based image analysis, citizen
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, geoinformatics, geoecology or related fields Programming skills (Julia, Python, MATLAB) and ability to work with time series and/or geospatial data Motivation to work at the interface of ML and environmental
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involve collaboration with external partners working on applied AI systems. Possible domains include geospatial analytics (for example in collaboration with a startup), as well as decision-support
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standardized cleaning, validation, and metadata practices. -Integrate geospatial analytics, predictive modeling, and real-time decision frameworks to deliver scalable insights. -Collaborate on research projects
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Modeling and Geospatial Analysis. At least 2 years of postdoctoral experience in related research. Background Investigation Statement: Prior to hiring, the final candidate(s) must successfully pass a pre
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, ecology, mathematics, or a related field Strong programming skills, preferably in Python (experience with scientific computing, ML frameworks, high performance computing and geospatial data are highly
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hydro-climatic conditions govern vegetation behaviour, and how vegetation impairs the functioning of drainage and water-management assets. Using advanced geospatial modelling, machine learning and digital
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discipline. This project would suit someone with interests in ecology, environmental science, urban sustainability, geospatial analysis, or quantitative modelling. Experience in all areas is not required as
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out research involving processing and geospatial analyses of drone remote sensing data, present research findings at scientific conferences, collaborate with other team members (MSc students, other PhD
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CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto | Portugal | about 1 month ago
with identifying, forming, and developing synergies and networks with stakeholders, including but not limited to policymakers, academic experts, or non-governmental organizations. Skills in geospatial