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recommendations. Adopt and champion the ROCRS (Research in Oregon Communities' Review System) process, supporting its rollout and training of other researchers. Conduct qualitative, anthropological research
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at the interface between stochastic modelling, signal processing and data science. Ultimately, the project will develop key indices that can be used to assess the health of the soil ecosystem. Such indices
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-matter Bose-Einstein condensates (BEC) using optical signals in the telecom and infrared (IR) spectral ranges. Project background: The control methods are enabled by strong exciton-photon and exciton
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no generalised agreement about the qualities that determine whether the model is good or not. The focus of this project is whether the model is good enough for the point in a project’s lifecycle and not whether
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performance simulation capabilities for gas turbine engines developed at Cranfield University as the starting point. Applications are invited for a PhD studentship in the Centre for Propulsion and Thermal Power
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the areas of robotics, or autonomous systems, interested in autonomous systems and signal processing. Keen to work with equipment and embedded platforms. Funding To be eligible for this funding, applicants
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. cell culture, molecular biology, imaging, cell signalling assays). As well as performing experiments on the project, the role will involve providing training in techniques to relevant staff/students
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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Edinburgh, Scotland | United Kingdom | about 2 months ago
of an accurate and generalisable density Equation of State model (EoS). This is especially challenging near the critical point and the Widom line, where there are large gradients in fluid properties. This project
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, analytical and computer programming skills. Advantage will be given to applicants with experience in one or more of the following: signal processing, deep learning, acoustics, psychoacoustics, acoustic
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of organisation-wide processes such as strategy formulation and human resources with R&D; The relationship between organisation-level activities and performance, and national and regional innovation systems