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challenge in modern medicine: many promising drugs lack effective delivery systems. Hence, this project not only allows the student to make a real-world impact, but also provides, through our strong network
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Start Date: Between 1 August 2026 and 1 July 2027 Introduction: This PhD is aligned with an exciting new multi-centre research programme on parallel mesh generation for advancing cutting-edge high
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for scientific publishing, international conference presentations, and professional development through the supervisors’ extensive networks in academia and industry. Research Environment: The project is hosted
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Develop an active learning-driven platform for compound selection and optimisation Integrate robotic sample preparation, automated data acquisition, and computational analysis Advance five existing
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private. This PhD will focus on three strands of work: 1) Innovate NILM model structures. Design efficient neural network architectures for both aggregator and client models that meet strict accuracy
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Genomics (EvoMG) is a MSCA Doctoral Network programme that pioneers an integrative approach combining Evolutionary Medicine and Medical Genomics to address critical health challenges. By combining
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core stages: Data Integration and Preprocessing: Develop a scalable, automated pipeline to collect, synchronise, and merge heterogeneous datasets from sources including OpenFlights, OpenSky Network
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architected materials or metamaterials (MTM) that can undergo targeted non-linear response. You will develop a computational framework that can reveal novel Multiphysics (thermo-mechanical) MTM solutions
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Evolutionary Medical Genomics (EvoMG) is a MSCA Doctoral Network programme that pioneers an integrative approach combining Evolutionary Medicine and Medical Genomics to address critical health challenges. By
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transition toward a net-zero energy future. Despite its enormous potential as a clean aviation fuel, hydrogen has not yet become a practical option for powering aircraft due to several major technological and