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PhD: Recognizing Multicultural Strengths of Youth via Social Networks at Work Faculty: Faculty of Social and Behavioural Sciences Department: Social Sciences Hours per week: 36 to 40 Application
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technological advances that support the global transition toward net-zero emissions and sustainable aerospace engineering. Motivation The reliability of electric propulsion systems is pivotal for next-generation
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of Science and Technology (proud member of the Alan Turing University Network) and be supervised by leading experts in machine learning for healthcare. You will also be affiliated to the School of Health
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welcomes applications from individuals with a master’s degree in the following fields: Computer Science Mathematics Natural or engineering sciences or an equivalent degree, interested in High-Performance
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access to bespoke courses developed for Engineering PGRs. including sessions on paper writing, networking and career development after the PhD. The Faculty has outstanding facilities and works in
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. It is essential that they are knowledgeable in current behaviour change science and techniques and specifically have experience of designing topic guides and administering in-depth, semi-structured
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computational modelling to be used to design and re-engineer flower architecture. The RA's main focus will be on computational modelling of gene regulatory networks for predicting the mechanisms leading
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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net zero aviation. This project will explore the science of novel cooling technologies, such as phase change materials and heat transfer enhancement, for the air systems used to condition the turbine
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education, research, and innovation, which has been inspiring generations of thinkers for over 400 years. Novel optical access and metro networks are essential to support fast growing capacity requirement