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characterized by sustainable solutions in terms of cost, energy consumption, and impact on the network infrastructure. Where to apply Website https://aunicalogin.polimi.it/aunicalogin/getservizio.xml?id_servizio
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disconnectivity in brain networks relates to symptom networks and recovery trajectories in psychiatric patients. Apply and further develop methods from network science, machine learning, and computational
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of trolleybus and tramway networks in Italian urban areas. Within this framework, the proposed research activity will focus on the development of innovative control strategies for DC-DC converters to be employed
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Università degli Studi di Roma Tor Vergata - Dipartimento di Scienze Chirurgiche | Italy | 7 days ago
24 Dec 2025 Job Information Organisation/Company Università degli Studi di Roma Tor Vergata - Dipartimento di Scienze Chirurgiche Research Field Medical sciences Researcher Profile Recognised
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the Center for Open Science and Data Management (CODA) of the Institute for Information Management and Communications, we promote research on environments and systems for data operations. https
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29 Dec 2025 Job Information Organisation/Company NEW YORK UNIVERSITY ABU DHABI Research Field Engineering Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country United
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27 Dec 2025 Job Information Organisation/Company SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Research Field Computer science Engineering Engineering Researcher Profile First Stage Researcher (R1
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. Hugues de Riedmatten. The group has experience in quantum technologies for quantum networks, including quantum memories, quantum light sources, quantum frequency conversion and quantum processing nodes
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participate in the resolution of complex technical issues in a timely manner while delivering best-in-class wired service support across UCSF. This role will conduct day-to-day network engineering and technical
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for ambitious researchers with interests across evolutionary biology and microbial ecology, and the postholder will be embedded within an exciting and interdisciplinary network of AMR researchers at Queen’s