549 algorithm-development-"Multiple"-"Simons-Foundation" "Prof" PhD positions in United Kingdom
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Field
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the detection of real versus AI videos. The focus has been from single disciplines (e.g., Masood et al., 2022), and typically technical in nature. By drawing on multiple modalities within video (i.e., visual
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by Thomas Swan & Co. Ltd. and will be focused on the identification and further development of routes for effective extraction and modification of biorenewable antioxidants and stabilisers in order to
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magnification and error accumulation by closing the feedback loop of conventional 3DP systems. The candidate will test the developed technologies across multiple application scenarios, including large-scale
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Supervisory Team: Prof Neil Sandham PhD Supervisor: Neil Sandham Project description: This project is focused on scale-resolving simulations (large-eddy and direct numerical simulation) combined
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development over the last two decades. This research topic aims to define novel approaches to developing and combining these intelligences, utilizing both 1st and 2nd wave AI approaches, in the context
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to work independently and manage time across multiple research tasks. For further information about the post, please see the how to apply document, job description and the person specification. We offer
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information from high-quality videos that share content with distorted footage as constraints in the learning process of modelling algorithms. This method uses the characteristics and knowledge embedded in high
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project will develop novel methods for modelling and controlling large gossamer satellites (LGSs), so that they can be reliably utilised in space-based solar power (SBSP) applications. The candidate will
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, tim.tang@manchester.ac.uk Dr. Samuel Draycott, samuel.draycott@manchester.ac.uk Prof Peter Stansby, BA, PhD, DSc, CEng, FICE, FREng, MIAHR p.k.stansby@manchester.ac.uk Candidates must have a 1st or a high 2i
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validated physics-informed digital twin FDP approach, developed with industry leaders like AMRC, the project aims to enhance this method and elevate its Technology Readiness Levels (TRLs), supporting