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arc energy distribution becomes particularly complex in scenarios like parallel-pass deposition, thin-wall deposition, and off-centre or out-of-position deposition. Additionally, FEA models are focused
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, and more efficient hydrogen storage tanks. These materials will be designed to address current limitations in conventional storage systems, such as weight, safety, and energy density. In parallel
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. In parallel, the company is developing a geared engine targeting a 25% efficiency improvement over 2020 entry‑into‑service engines—an ambition that pushes thermal‑management requirements to the
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following: mathematical programming; multi-objective optimisation; simulation-based optimisation; stochastic and robust optimisation; heuristic and metaheuristic optimisation; transport, logistics
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, data analytics and scientific programming, together with experience in laboratory testing, project management and international collaboration. These highly transferable skills will provide excellent
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experience developing deep learning models using frameworks using PyTorch and possess strong Python programming skills. Experience working with Remote Sensing datasets and geospatial technologies
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discipline. You will have experience developing deep learning models using frameworks using PyTorch and possess strong Python programming skills. Experience working with Remote Sensing datasets and
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++ and real time implementations and programming would be most desirable. Funding The studentship is for three years and provides payment of tuition fees at the UK/EU rate (£9,000 per annum) plus a £14,300
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research in plant and soil science using both qualitative and quantitative methods. You will have some experience in mathematical modelling and basic-level programming. But our main requirement is
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equivalent in computer science, embedded systems, robotics, mechatronic engineering, or closely allied topics. You will have strong programming skills for real-time mechatronic systems and experience