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The PhD programme in Innovation for Sustainability is interdisciplinary, applied and project oriented. It is suited for research and development work within private and public sectors as
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-long learners in the fields of cybersecurity, AI/ML, or related areas, who are willing to cross-train to address AI Security. As part of the Threat Analysis Directorate, you will join a group of security
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to study and predict. In this four-year SNF-funded project, you will develop data-driven, multiscale simulation methods that combine computer simulations, machine learning, and surrogate models to explore
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contribute to the development of background-suppression techniques for single‑photon detectors used in axion experiments, operating at optical and infrared wavelengths. The research project includes
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Modeling for Hydrogen Storage (m/w/d, E13 TV-L, 75%) Responsibilities: Develop a pore-scale model for two-phase flow of hydrogen gas and brine Develop a bioreactive-transport model and couple it with the two
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This PhD project will focus on developing, evaluating, and demonstrating advanced data analytics solutions to a big data problem from aerospace or manufacturing system to uncover hidden patens
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Dalton Building at Manchester Metropolitan University. You will develop skills in computational experimentation, financial data analytics, and systemic risk modelling, with extensive opportunities
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and identify structural barriers to nutrient release. Drawing on these mechanistic insights, you will also help to develop and test prototype nutritional supplements or modified food‑structure
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PhD Studentship: Robust quantum control for quantum error correction The development of fault-tolerant quantum computing is one of the most coveted aims of quantum technology. It will bring about a
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relying on incremental optimisation of existing materials. By developing novel multilayer dielectric materials with ultra-high breakdown strength, the research will revolutionise electrified technologies