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11 Jul 2026 Job Information Organisation/Company ETH Zürich Research Field Computer science » Other Researcher Profile First Stage Researcher (R1) Application Deadline 7 Oct 2026 - 21:59 (UTC
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD Position: Engineering Trustworthy Energy Data Spaces for Heat Transition
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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for 3-year PhD positions in computer science with emphasis on formal methods. Possible topics include (but are not limited to) computational complexity, distributed systems, human factors, logic
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 2 months ago
engineering Engineering » Other Researcher Profile Recognised Researcher (R2) Positions PhD Positions Application Deadline 30 Jul 2026 - 11:59 (Europe/Lisbon) Country Portugal Type of Contract To be defined Job
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: [email protected] Start: 1 September or soon after Duration: 3 years as a PhD student [+ 3 months as research assistant for enrolment, if relevant] Job description Your key tasks as a PhD student will be
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD Researcher - Agentic AI The Singapore-ETH Centre was established in 2010 by ETH Zurich
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academic 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
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or more of the following areas: IoT, data mining, cloud/edge/fog computing. • Good knowledge in one of the following programming languages: C/C++, Python. Place of employment: Karlskrona. Employment level
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) Karima El Ganaoui, ESTI Pau CY Tech, M24, duration: 4 weeks, AI materials Duties of the position Take part in the mandatory PhD research education programme Develop a quantitative deep-learning-based