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years of experience as a Lab engineer, including the PhD. Job-SpecificSkills: Strong understanding of machine learning principles, particularly deep learning architectures (e.g., transformers, RNNs
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global change, damaging critical infrastructure resilience. This project is part of the prestigious Loughborough University Vice Chancellor’s PhD Cluster – RAINDROP (Resilient eArthwork INfrastructure
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to have the following skills and experience: Essential criteria PhD qualified in Mathematics, Physics, Engineering or Computer science or near completion*** Experience in language computer programming
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: Essential criteria PhD in Mechanical Engineering or in an area related to Fire Safety Engineering* Good knowledge and research experiences in modelling lithium-ion battery fires especially for NMC/LFP/LCO
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partners across creative media, gaming, healthcare, and engineering, where immersive technologies are increasingly applied to design, simulation, and user experience. The School also contributes
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their expertise in design engineering, digital simulation, and applied R&D. You’ll gain access to state-of-the-art facilities, tailored training support, and the potential for ongoing employment with the industrial
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3D Solar Flare simulations: a hybrid MHD-beam approach School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Malcolm Druett Application Deadline: Applications accepted
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simulation models to predict and analyse protein structure, dynamics and interactions. This will address important challenges associated with enzyme evolution, thermoadaptation and engineering (e.g
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technologies. Applicants must have a PhD degree (or have submitted a PhD thesis) in Electrical, Electronic, computer engineering, Computer science or a related healthcare discipline, have excellent knowledge and
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apply simulation models to predict and analyse protein structure, dynamics and interactions. This will address important challenges associated with enzyme evolution, thermoadaptation and engineering (e.g