452 web-developer-"https:"-"https:"-"https:"-"Institut-Agro-Rennes-Angers" PhD positions in United Kingdom
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The PhD project aims to develop dynamic pressurisation techniques for real-time crystallography and spectroscopy studies of samples in a liquid environment. It will be used for in-house macroscopic
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engineering, structural, aerodynamic & manufacturing process modelling and optimisation techniques that will transform current design & development practices. Together we will make technological advances
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Asia (SEA), focusing on Manila (Philippines) and Ho Chi Minh City (Vietnam). This position will be based at the School of Engineering at Newcastle University, focusing on developing models to predict AMR
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4D imaging, their high data rates limit their use in real-time applications. As a result, the available benchmark data for developing numerical models to predict transient multiphase flows is limited
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unexpected directions and creating unique opportunities to uncover new fundamental physics. This PhD studentship offers the chance to develop an ambitious research project at the interface of theory and
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both individual decision-making and multi-agent cooperation. The student will investigate two complementary directions: ToM-Enhanced Decision-Making for Autonomous Agents: Develop decision-making
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to cultural artefacts and buildings, and the ways that curators, conservators, scientists, critics, artists and the public responded, this PhD project will develop new understandings of the relationship between
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Robotics Centre (MRC) at The Chinese University of Hong Kong (CUHK). The successful candidate will contribute to the development of an advanced telesurgery platform built on a novel surgical system. This
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Development”, funded by an ERC/UKRI Starting Grant 2023. The project will leverage micro-level data from multiple countries and novel theoretical frameworks to shed light on how the accumulation and utilization
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with NEOM, one of the world’s largest ecological restoration programmes, the project will develop machine-learning approaches to analyse satellite observations of vegetation change and evaluate large