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Field
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Network (MSCA-DN) SCARPA - Sustainable and Circular Footwear Training Program, within the Horizon Europe Programme of the European Commission. SCARPA is a consortium of high-profile universities, research
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, critical for efficiency. A sophisticated numerical framework will be developed, coupling moving-mesh CFD with detailed chemical kinetics to evaluate advanced scavenging designs and low-temperature combustion
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of your research will lie on the study of topological order using tensor network methods. You continuously stay informed about the state of the art in your field. You present your research plan
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justice and inequality in the context of the United Kingdom. As community engagement is central to this research, we particularly encourage applications from candidates with strong existing networks with
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, artificial neural networks and bio-inspired robotics: "Rhythmic-reactive regulation for robotic locomotion" (Supervisor: Prof Fulvio Forni) will apply techniques from nonlinear control and optimisation
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The Medicines And Healthcare Products Regulatory Agency; | Canary Wharf, England | United Kingdom | 11 days ago
communication skills with experience in presenting research, writing study protocols, and drafting strategic papers and manuscripts for publication. Actively build and maintain a network of colleagues and
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including machine learning. This research will support the path to net zero flights and there will be opportunities to become involved in practical aspects of fuel system design and testing during their PhD
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training and networking opportunities. Person Specification: We seek an enthusiastic team player with strong interest in the carbon cycle and climate change, self-motivation and numerical skills. Entry
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will have access to the wider network of the Centre for Microbial Interactions at the University of East Anglia which consists of over 200 researchers studying all Kingdoms of life. Person specification
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health. You will develop and apply cutting-edge machine-learning techniques to identify the most informative indicators of ecosystem change and use them to build dynamic Bayesian network (DBN) ecosystem