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Field
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PhD thesis Edge Intelligence for 6G Networks. The PhD project will deep dive into Edge Intelligence for next-generation (6G) communication systems. The project focuses on integrating Artificial
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a highly motivated candidate for a full-time (100%) PhD position for 3 years in “Development of Probabilistic Reliability Criteria in Distribution Grids”. You will join the research group Power System
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The PhD is funded by the ANR through the PEPR TRACCS programme as part of the GEOSIC project (Geopolitics and Science of Interventions on the Climate). The PhD student will be based at LATMOS in Jussieu and
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the quantification of demand responses to climate pricing in agri- food and the identification of distribution and behavioral factors that influence the effectiveness of carbon pricing as an
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motivated candidate for a full-time (100%) PhD position for 3 years in “Development of Probabilistic Reliability Criteria in Distribution Grids”. You will join the research group Power System Operation and
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the area of quantum and hybrid classical-quantum networks regarding their design, management, and debugging in distributed architectures. Well-Planned Interdisciplinary Training: To sustainably train PhD
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teaching duties. Applicants should possess a PhD degree in Computer Science, Computer Engineering, Information Systems, or a related field, and sufficiently demonstrate abilities to conduct high-quality
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teaching duties. Applicants should possess a PhD degree in Computer Science, Computer Engineering, Information Systems, or a related field, and sufficiently demonstrate abilities to conduct high-quality
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Date 1 Sep 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number PHD GSO 019-26 Is the Job related to staff position within a Research
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funded by the Research Fund at Reykjavík University for the three year duration of the PhD, subject to satisfactory academic progress. Qualifications A Master’s degree in Environmental Science, Glaciology