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PhD position in Adaptive Protocols for Decentralized Wireless Networks - Secure Mobile Systems Group
19 Mar 2026 Job Information Organisation/Company IMDEA Networks Institute Department Secure Mobile Systems Group Research Field Computer science » Other Engineering » Electrical engineering
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16 Apr 2026 Job Information Organisation/Company Faculdade de Medicina da Universidade do Porto Department HR - Human Resources Research Field Medical sciences » Health sciences Researcher Profile
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encompasses model compression and optimization for edge deployment on UAV-mounted processors to support real-time inference. The candidate will collaborate with industrial partners for real-world data
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on developing the next generation of approaches for analyzing spatiotemporal data arising from sports matches (e.g., tactcal analyses, player/team evaluation, …). See https://dtai.cs.kuleuven.be/sports 4) 1-2
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challenge: how to evolve classical communication networks to support both traditional data and the unique requirements of quantum information systems (https://www.classique.aau.dk). CLASSIQUE will address a
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to apply Website https://aau.varbi.com/en/what:job/jobID:914701/type:job/where:39/apply:1 Requirements Additional Information Work Location(s) Number of offers available2Company/InstituteAalborg
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Institute of Low Temperature and Structure Research Polish Academy of Sciences | Poland | about 2 months ago
of Low Temperature and Structure Research of Polish Academy of Sciences in Wrocław in accordance with the information on personal data processing available at https://bip.intibs.pl/artykuly/rodo-1 Work Location(s
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6 Mar 2026 Job Information Organisation/Company Linköping University Research Field Computer science Researcher Profile First Stage Researcher (R1) Application Deadline 24 Apr 2026 - 12:00 (UTC
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to evaluate and inform digital health interventions for women at increased risk of GDM. The project will primarily utilize data collected from a completed randomized controlled trial (https://bump2babyandme.org
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to evaluate and inform digital health interventions for women at increased risk of GDM. The project will primarily utilize data collected from a completed randomized controlled trial (https://bump2babyandme.org