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Warwick: Prof. Zushu Li, Dr Zhiming Yan, Tata Steel UK: Dr Ciaran Martin, Dr Bin Xiao Start date: October 2025 (or earlier) Project Overview: An enthusiastic researcher is invited to join a team to work on
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manufacturing (3D printing) techniques. The purpose of the studentship is to develop a next-generation in vitro model of aged human skin to evaluate the cytocompatibility of materials used in maxillofacial
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for an ambitious PhD student on perceptual foundation models. Your research is part of the Video & Image Sense Lab. Join our team! Recent breakthroughs in Artificial Intelligence resulted in the emergence
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of Econometrics and Statistics, esp. in the Transport Sector and co-supervised by Prof. Dr. Klaus Bogenberger, Chair of Traffic Engineering and Control, TU Munich. Requirements: Excellent, very good or good
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spanning design, modelling and simulation of photonic systems, sensor systems, signal processing and device manufacturing, development of machine learning algorithms, and design of optical communication
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. The core objective is to develop advanced 3-D modelling and optimisation methodologies for magnetic components that enable accurate leakage inductance prediction and improved overall performance. Traditional
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with colleagues with diverse backgrounds? The Informatics Institute is looking for an ambitious PhD student on perceptual foundation models. Your research is part of the Video & Image Sense Lab. Join our
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model-based control tailored to systems like NudgeFlow. The framework decomposes the global control problem into smaller local problems for each zone or room, enabling independent optimization with local
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, machine learning and behavioral modeling methodologies. In the FlexMobility project we propose a holistic approach to design a public transport network that includes both traditional fixed lines and
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. fluorescence anisotropy, ITC, SPR). cryo-EM (sample/grid preparation, data acquisition, data processing, model building and interpretation). The writing of scientific papers and active participation in internal