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. The PhD candidates will focus on developing methods that utilize remote sensing and AI supporting precision forestry. Remotely sensed data, such as images, lidar, and photogrammetric point clouds acquired
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21 Mar 2026 Job Information Organisation/Company Tallinn University of Technology Research Field Computer science » Other Economics » Administrative sciences Economics » Financial science Economics
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PhD thesis Resilient Beyond-5G/6G Networks through Zero-Touch Network and Service Management. The PhD project will research network architectures for Beyond-5G (B5G) and 6G systems, with a focus on Zero
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service delivery across heterogeneous infrastructures, including terrestrial and non-terrestrial networks, cloud-edge environments, and vertical industry domains. The PhD candidate will investigate
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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 ICT Services
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eligible and ready to enroll in the UPC doctoral programme. Nice-to-haves: Previous track record of research excellence (publications, awards). Experience with Cloud-native technologies (Docker, Kubernetes
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UiA-CERN PhD Position in Multi-robot Mapping and Environmental Data Sharing - Uncertain Environments
UiA. The successful candidate will spend 18 months at UiA followed by 18 months at the BE-CEM group at CERN, while remaining active in the PhD programme at UiA for the full 36 months. The PhD Candidate
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-organizing solutions for the efficient management of computing infrastructure based on the Cloud-Edge Continuum (CEC) concept. As 6G networks evolve, managing the complexity of distributed computational
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University of Warwick –Collaborative EPSRC Doctoral Landscape Award. Qualification: Doctor of Philosophy in Engineering (PhD) Eligibility: UK Students Award value: Tuition fees and tax-free stipend
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seeking a PhD candidate in computer architecture. The research focus of this PhD position is the design of performant and energy-efficient Edge Artificial Intelligence (AI) accelerators. Such accelerators