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analytical backbone of the programme. It develops sensor-enabled diagnostic cells, multi-modal data pipelines and hybrid physics-informed machine learning approaches to understand interfacial behaviour during
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methods on high performance computing systems in a way that is suitable for operational use. Person Specification PhD, or close to completion, in a relevant, quantitative field, e.g. meteorology, machine
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working with Johnson Matthey, but aligned with the EPSRC funded Programme Grant “Dialling up performance for on demand manufacturing” (EPSRC reference: EP/W017032/1). Our vision is to create a toolkit and
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University-wide involvement, and may include sustained high value impact knowledge transfer, enterprise, business engagement, public engagement, and similar activities that are of manifest benefit the College
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, subject to a successful review, the post-holder will be eligible for reappointment until retirement age. The Associate Professor will develop a world-leading research programme in climate physics and earth
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discipline. You will have demonstratable experience in field-based research, microbiology (field and laboratory), bioinformatics (e.g. metagenomics and high-performance computing), and handling plants and soil
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(France) will be an important part of the project. What you will deliver: Develop and Implement Multicellular Models: Build and integrate high fidelity interface models in the Chaste framework linking
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of the following areas: Development of novel RF accelerating structures to produce x-rays at the 1-10 MeV scale. This includes both high- or low-power approaches. Development of high-power RF sources with a focus on
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from AI data centres and high-performance computing. The appointed Research Associate/Fellow will conduct computational studies of electronic transport and quantum phenomena in 2D semiconductor materials
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(France) will be an important part of the project. What you will deliver: Develop and Implement Multicellular Models: Build and integrate high fidelity interface models in the Chaste framework linking