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are undertaking research in aerospace engineering and specifically on the application of distributed propulsion systems on future aeroplanes. Project details: Despite being some of the most complex and efficient
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Researcher (R1) Positions PhD Positions Application Deadline 30 May 2026 - 00:00 (Europe/Paris) Country France Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Oct 2026 Is the job funded
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is looking for an aspiring PhD candidate to research causal machine learning and uncertainty quantification for Earth Observation time-series. Currently, predictive AI in Earth Sciences relies heavily
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distributed MIMO systems. Your work assignments The research focus for the advertised position is machine learning for telecommunications. The position is part of the project "Machine learning for sensing in
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on the problem of making distributed machine learning robust to network outages and computational bottlenecks. The work is part of the Norwegian national AI centre SURE-AI, and the PhD student will
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, which options become visible, and how agency is distributed between humans and algorithmic systems. In this PhD project, you will study AI-supported decision-making from a representational perspective
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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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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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quantum communication, distributed quantum computing, and joint classical-quantum networks, it is essential to convert between stationary quantum memories (e.g., trapped ions, atoms, nuclear spins) and