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to outsource computation tasks to a cloud server without revealing to the server anything about the user data or even what kind of computations the user is performing. There are different techniques
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learning. Cloud computing and cloud technology. Low-level programming and Linux kernel experience. are meriting. Consideration will be given to good collaborative skills, drive and independence, and how
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. Experience with high-performance computing clusters or cloud-based Earth observation platforms (e.g., GEE Python API). Experience with airborne lidar data processing and canopy height modelling. We will place
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are united in our efforts to understand, explain and improve our world and the human condition. Geographic Information Science is the interdisciplinary study of theories, methods, and technologies
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integration (CI/CD), and experience with agile ways of working. Experience with HPC, cloud-based environments, data platforms, or scientific computing environments. Experience in one or more relevant areas such
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conduct world-class applied research. We change and make a difference. Do you want to become one of us? The Department of Computer Science (DIDA) is one of two departments at the Faculty of Computing
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are united in our efforts to understand, explain and improve our world and the human condition. About the workplace LUNARC is the centre for high-performance computing (HPC), visualisation, and storage at Lund
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domains such as telecom, defence and cloud. You will join the Machine-Intelligence for Networks and Distributed Systems (MINDS) research group at the Department of Computing and Learning Systems, School
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web-GIS development or geospatial data visualization. Experience with high-performance computing clusters or cloud-based Earth observation platforms (e.g., GEE Python API). Experience with airborne
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. The research is devoted to the broader area of privacy-preserving storage and computation outsourcing. Privacy-preserving computation outsourcing allows users to outsource computation tasks to a cloud server