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contribute to the excellence of our academic community. JOB DESCRIPTION: Helps design and conduct research within a specified field while receiving advanced training from a designated Principal Investigator to
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of semiconductor devices in a clean room using advanced fabrication techniques and developing device simulation TCAD models to complement experiments and to support device design and to analyse device failure
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structural properties of nanostructures and nanoparticles. We combine expertise in nanofabrication, laser science, nonlinear optics, sensing, advanced imaging techniques and numerical modelling. About the role
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. Familiarity with computational modeling of structure-function relationship Experience in identifying metabolites in biological samples. Sufficient knowledge in statistical analysis tools (e.g., SAS, R, XLstat
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computational modelling and design optimisation. You will run CFD and fluid-structure-interaction simulations. You will develop models, analyse results and collaborate with partners to inform design. The role
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include advanced and functional materials, chemical synthesis, energy storage and conversion, as well as molecular and materials modeling. Within this department, the Electrochemical Materials and
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
related discipline with a focus on Digital Twins, AI, ML, or smart infrastructure systems. Strong background in computational modeling, data analytics, and/or automation in construction or infrastructure
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science, nonlinear optics, sensing, advanced imaging techniques and numerical modelling. About the role A successful candidate will join the EPSRC funded project “Catalysis meets plasmonics: New
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Research Infrastructure? No Offer Description Do you want to advance our understanding of battery interfaces under electrochemical bias using near ambient pressure X-ray photoelectron spectroscopy (NAP-XPS
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. The postholders will develop advanced modeling techniques to create privacy preserving realistic data, and predict disease trajectories, outcomes, and other clinically relevant endpoints. They will also explore and