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of the expansion is to reduce the frequency of collisions, so that chemical and thermal relaxation processes are slowed down. There are indications that commonly accepted rate constants for non-equilibrium
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optimisation techniques and AI-based models to support decision-making in microgrid design and operation. Working in collaboration with a leading global mission critical firm of engineers, this project offers
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for maximum performance per watt. You will investigate how configurable and customizable processing technologies can be leveraged to create fundamentally more energy-efficient Computational Fluid Dynamics
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skills and proficient in the use of applications such as Microsoft Word, Excel, PowerPoint. Experience in preparing high-quality manuscripts and submitting them for publication in academic journals
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The post holder will develop computational models of learning processes in cortical networks. The research will employ mathematical modelling and computer simulation to identify synaptic plasticity
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of computer simulation models that are open for reuse by health researchers and the NHS. The post holder will conduct cutting edge research that builds on our preliminary research with Open Weight Local Large
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the general public (e.g., policy briefs, public engagement, media, exhibitions) Downloading a copy of our Job Description Full details of the role and the skills, knowledge and experience required can be found
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capabilities by harnessing the unrivalled power and adaptability of human brain neurons. This Research Associate position will support the project by inferring the processes that take place within a cortical
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tissue samples from one of Europe’s largest and most well- characterised ILD cohorts. The postholder will be responsible for tissue processing ad generation of / sorting of primary lung cells from
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and leading a programme of numerical simulations relating to all aspects of our research on P-MoPAs; using particle-in-cell computer codes hosted on local and national high-performance computing