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the project is the development of AI-based pipelines for detecting, segmenting, and classifying lichen communities. Convolutional neural networks (e.g., U-Net, DeepLab) and machine-learning algorithms (e.g
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communications and advanced space debris tracking. The station is integrated into a dark fibre network, creating a living lab for hybrid quantum-optical networks and future 6G technologies. We are actively engaged
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(pro-rata) Work arrangement Part-time Duration 01/02/2026 - 30/09/2026 (flexible upon discussion with successful candidate) Line manager Principal Investigator Direct reports None Our website https
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27 Oct 2025 Job Information Organisation/Company IMDEA Networks Institute Department NETCOM Lab Research Field Engineering » Communication engineering Researcher Profile First Stage Researcher (R1
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. Description: This opportunity is closed to applicants who are Senior Fellows (5-years or more past PhD). The climate system can be considered in terms of the net imbalance between absorbed shortwave radiation
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the preparation and defence of a PhD thesis in the field of resilient wireless networks. The scope of the project is performance modelling and optimization of 6G radio access networks (RANs) under adverse
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integration on Quantum Key Distribution systems and encryptors into production facilities following novel networks paradigm such as Software-Defined Networking and Network Function Virtualization.Specifically
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the University, as well as at the regional, national, and international levels. Adjustments in the distribution of teaching responsibilities among instructors are possible. The final organization of the teaching
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, teaching assistants, educational collaborators, and student instructors). Adjustments in the distribution of teaching responsibilities among instructors are possible. The final organization of the teaching
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of Position Faculty Position Time Status Full-Time Tenure Track Status Tenure Track Required Education MD, DO, MD/PhD, or equivalent Required Related Experience Terminal degree in a behavioral science field