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underwater communications is necessary. Conventional approaches in underwater communications only develop fixed models based on human knowledge or understanding which cannot fully cover the highly dynamic and
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the field and greenhouse. You have experience using modern approaches in root phenotyping, image analysis, or simulation modeling to understand the functional roles of plant roots in agroecosystems. You have
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for the Endorsed Funder Route of the Global Talent Visa. We can provide an interest free loan scheme to support applicants who need to apply for a visa. Please contact Prof Yujiang Wang yujiang.wang@newcastle.ac.uk
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/ Robust) Combinatorial Optimization, Game Theory, and Network Theory, as well as Artificial Intelligence. Potentially, scenarios could be simulated using agent-based, discrete-event, or other techniques
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to the development of multiscale computational models for simulating crack propagation and establishing reliable methods to predict the residual strength of composite structures. The simulations, performed in Ansys
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economic impact through simulation modeling. Beyond this unique project, this position offers an exciting opportunity to advance simulation techniques in HTA! Information and application Submit your
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plentiful numerical simulations and access to vast real-world monitoring data are available from the outset, your focus will be on the development and critical assessment of the surrogate models, especially
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electron microscopy analysis, Raman spectroscopy, fluid inclusion analysis, potentially appropriate petrochronological methods, and 3D geological modelling. The project will be conducted in partnership with
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this to data from X-ray satellites and attempt to constrain misalignment directly. The student will also have the opportunity to explore new GR-RMHD simulations which are being carried out by Prof Middleton’s
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Applications are invited for a position in the rapidly expanding data analytics run by Prof Adam Dubis. The main focus of the team is to develop deep learning tools for prediction of disease progression