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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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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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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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or more of the following areas: IoT, data mining, cloud/edge/fog computing. • Good knowledge in one of the following programming languages: C/C++, Python. Place of employment: Karlskrona. Employment level
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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
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9 Jul 2026 Job Information Organisation/Company Chalmers University of Technology Research Field Computer science » Other Engineering » Control engineering Engineering » Industrial engineering
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10 Jul 2026 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Computer science » Other Environmental science » Earth science Researcher Profile First Stage