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an interdisciplinary and international environment. Candidates should send their applications by April 30th through https://cv.newton-6g.eu/ Incorporations will begin in May 2026. DC1: Data-driven models for CF networks
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eNSEMPLE. It is an interdisciplinary project at the interface between Statistical Physics, Data Science, Network Science, Computer Science and Sociology, and will involve collaborations with researchers from
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1 Mar 2026 Job Information Organisation/Company Fundació Privada I2CAT Department Software Networks Research Field Technology » Telecommunications technology Researcher Profile First Stage
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Description We are seeking an outstanding Doctoral Candidate (DC) for a fully funded studentship as part of the prestigious Horizon Europe MSCA Doctoral Network “Advanced Network Connectivity using Harmonious
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details can be found at https://www.net-zero-fibe-cdt.eng.cam.ac.uk/ The project is funded in collaboration with Network Rail, the entity responsible for the operation and maintenance of the Great Britain's
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Would you like to contribute to understanding how social network connections and
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premier master's graduate to join our growing software architecture team in the context of the Marie Curie Doctoral Network NEWTON. The ideal candidate will be conducting cutting-edge research
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. The research will focus on identifying and characterizing ultrasonic signatures emitted by aging electronic components, and on developing physics-informed neural networks (PINNs) to model their degradation
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, funded by the European Commission. You can find more information on this project at NEWTON, https://newton-6g.eu/ . The Doctoral Network is led by IQUADRAT, the ATHINA-EREVNITIKO KENTRO KAINOTOMIAS STIS
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Description About the NeuroNanotech Doctoral Network NeuroNanotech is a doctoral network funded by the European Marie Skłodowska-Curie Actions (MSCA) that will train eleven researchers to tackle one