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Field
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processing, or optimisation to turn heterogeneous knowledge (channel/network state, maps and topology, mobility, hardware constraints, and task-level KPIs) into reliable and efficient decisions. The work spans
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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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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
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, and networking skills. Person specification This interdisciplinary research is best suited for individuals with broad interests in understanding the implications of climate change and an attitude to
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, you will have regular opportunities to present your work in academic meetings. You will also be able to develop your wider networking skills through interactions with Fera Science, as
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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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Safety Research Collaboration, which allows broader networking with other PhD students, researchers and academics nationally. The PhD position is for a UK-registered pharmacist. Applicants who are General
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Warfare, Information and Cyber (EWIC) provides an exceptional environment for this research, offering access to specialised expertise, cutting-edge labs, and a network of defence and security partners
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on developing your core research skills Programme flexibility with the introduction of study tracks to tailor your studies, supported by a wide range of research groups The opportunity to develop a global network