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: https://www.uni.lu/snt-en/research-groups/finatrax/join-us/ Your role The successful person will be enrolled in the PhD program in Computer Science and Computer Engineering with a specialisation in
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, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services & Applications. The Signal Processing and Communications (SigCom) research group of SnT, headed by Prof. Symeon
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: https://www.uni.lu/snt-en/research-groups/finatrax/join-us/ Your role The successful candidate will be enrolled in the PhD program in Computer Science and Computer Engineering with a specialisation in
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Your profile Completed doctoral or PhD studies in geography with a focus on remote sensing and physical geography Sound theoretical knowledge and practical experience in laser scanning, 3D point cloud
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Gained: Students will study sustainability in computing, including integrating AI with real-time energy data and carbon monitoring, contributing to low-impact, sustainable cloud operations. Distributed
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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, for policy, and the public. We are now looking for a PhD Researcher who combines strong engineering fundamentals with serious attention to how these systems behave in the world and who they serve. Job
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 3 months ago
engineering Engineering » Other Researcher Profile Recognised Researcher (R2) Positions PhD Positions Application Deadline 30 Jul 2026 - 11:59 (Europe/Lisbon) Country Portugal Type of Contract To be defined Job
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. Qualifications: Master's degree required, PhD preferred. 5-7 years of experience working with data and data analysis tools. Proficiency in SQL, Python, R, and Data Visualization.• Familiarity with cloud computing
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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