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PhD scholarship in Mid-Infrared Frequency Comb Technology for High-Sensitivity Sensing – DTU Electro
partners. Responsibilities and qualifications Your main focus will be to strengthen the department’s expertise in ultrafast lasers and frequency combs while developing innovative solutions for high
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families and communities. KWY operates across a range of sectors including child protection, family violence, education, and community development. The organisation is grounded in cultural integrity
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this project, you will develop the next generation of federated machine unlearning algorithms—methods that can efficiently deliver genuine, verifiable, and robust erasure without sacrificing model performance
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explaining issues clearly or prioritising them by player impact. This collaborative doctorate (University of Surrey, SAHCI, and Sony Interactive Entertainment, SIE) will develop a QoE-driven agentic AI
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-flavanol cocoa product developed by an industry partner. Unlike previous research, it enables investigation of dose–response effects within realistic dietary intake. This interdisciplinary PhD spans
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performance. This PhD project aims to develop a data-driven framework for graphene aerogel design by integrating structured experimental Design of Experiments (DoE) with machine learning (ML). The student will
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early detection and predict adverse pregnancy outcomes. You will develop and validate a data-driven clinical decision support tool in collaboration with clinicians and industry partners. Pre-eclampsia is
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such as virtual reality are being used to increase motivation and adherence to exercise programmes without the need for in person contact. This work builds on our existing co-development and implementation
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on numerical simulation of the turbulent urban boundary layer using the transient mesoscale model PALM‑4U. The work involves developing the model to integrate multi‑physical parameters and boundary conditions
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Tech), Technical University of Denmark, for a fully funded 3-year PhD scholarship. In our team, you will combine computational discovery with state-of-the-art experimental validation to develop novel