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of colour vision loss. The experimental findings will be used to establish informed criteria for a new protocol for colour vision in Network Rail. The work is embedded within an established programme of
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on East Africa. As a PhD fellow, you will investigate the role of transnational Christian networks in shaping contemporary political, social, and moral imaginaries in Uganda and/or Kenya. Your research
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Sklodowska-Curie Initial training network (ITN) project entitled UNVEIL. The position will be based in France, at the C2RMF in Paris, and SATIE in Gif-sur-Yvette (near Paris). The PhD Enrollment is Université
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Networks. The period of employment is 3 years. Candidates will be enrolled in a PhD degree program in the Katholieke Universiteit Leuven, Belgium. Eligibility criteria Candidates must also meet the
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PhD Student position in LiFi Systems for Unmanned Aerial Vehicles - Pervasive Wireless Systems Group
Offer Description IMDEA Networks’ Pervasive Wireless System Group headed by Prof. Domenico Giustiniano invites applications for a PhD position in the area of LiFi/Visible Light Communication Systems
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position in the area of machine learning and computer simulations. The focus of the PhD project will lie on developing machine learning models for clustering, classification, regression and reinforcement
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Mobile Edge Computing (MEC) has emerged as a promising computing paradigm to support emerging high-performance applications by deploying resources at the network edge. However, most existing MEC
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must be completed in accordance with The Ministerial Order on the PhD programme (2013) and the faculty’s rules on achieving the degree. Salary, pension and terms of employment are in accordance with
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 6 days ago
Framework Programme? Not funded by a EU programme Reference Number 2026-09927 Is the Job related to staff position within a Research Infrastructure? No Offer Description This 3-year PhD position is fully
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of AI systems by a factor of 10,000 compared to conventional software solutions. In this context, the MARMOTTE project (Mott based nano-memristors networks for ultra-low-power neuromorphic computing) aims