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detailed imagery, but only under cloudfree conditions. Synthetic aperture radar (SAR) can deliver highquality images regardless of cloud cover, but such systems are expensive. Our main research question is
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experience in cloud infrastructure, orchestration tools, and databases Demonstrable ability to present research papers at national/international conferences and communicate complex information to specialists
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part of an international team Desired Qualifications Familiarity with cloud computing platforms and large-scale data processing German language skills Publications in computer vision or machine learning
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. Understanding of or curiosity about machine learning, AI, or cloud computing tools used in agricultural analytics. Interest or experience in working with industry, government, or multidisciplinary research teams
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documentation. Data management & computational reproducibility. Experience with data pipelines, version control (e.g., GitHub), reproducible workflows, and cloud or HPC environments. Additional Information: In
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, and cloud or HPC environments. Additional Information: In keeping with its access, excellence, and impact mission, The University of Texas at El Paso is committed to an open, diverse, and inclusive
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research in the broad field of computational methods for the built environment. Particular emphasis is placed on building information modelling, digital drawings, point cloud capturing and processing as
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of specialization include: Web Application Engineering Model-based Systems Engineering AI for Software Engineering Software Engineering for ML Big Data Architectures Cloud Architectures Contribution to Software
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emphasis is placed on building information modelling, point cloud capturing and processing as well as knowledge representation and inference. In the research project AI-CHECK, new technologies for checking