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PhD Studentship: Designing Human-AI Teams for Meaningful Human Control of 'Machine-Speed' Operations
January 2027. This PhD explores the design of human-AI teams when the AI agents operate at ‘machine-speed’ (i.e., significantly faster than human cognitive and communication capabilities). The research will
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researchers eager to contribute to this emerging scientific frontier. About the project The role of the PhD candidate will be to develop efficient methods for Hybrid Learning-Control Methods for Autonomous
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of XID+, a world-leading modelling framework developed at Sussex, which can disentangle emission from multiple galaxies that appear blended together in observations. The PhD project will focus on advancing
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project „Portable platform for the in vitro analysis of a large number of antigens, antibodies and genetic material sequences”. 1. Available positions Two positions of research assistant (PhD student) in
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. Cutting-edge research in a fascinating field The PhD project centers on a fundamental question in molecular biology: How is human translation controlled at the structural level? You will investigate
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onset. However, minimally invasive biomarkers are still needed to support early diagnosis, monitor disease progression and assess treatment response. In this PhD project, you will develop and validate
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. This PhD project aims to advance monitoring, reporting, verification (MRV) systems and mitigation strategies for reducing agricultural GHG emissions by systematically evaluating and improving the accuracy
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: *Optimal Particle identification of Single Site with Underground MKIDs Detectors; funded by the ERC project ERC OPOSSUM *Development of an Experimental Microsatellite Platform for Extended In-Situ Space
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unlock the data needed for the energy transition? In the NWO-funded SHARE project, you will develop AI models that generate realistic, privacy-preserving synthetic energy data for grid planning and
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The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for a PhD stipend in the field of wireless-native Physical AI Systems within the general study