601 postdoc-in-thermal-network-of-the-physical-building PhD positions in United Kingdom
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will focus on establishing best practice for widespread applicability, building on past skin, heart, lung, brain and biomaterials research within the Lab. This experimentally focused PhD position will
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protocols for electrical biasing of samples in the microscope. A key task is to process and analyse large 4D-STEM data sets and extract information about domain wall structure and dynamics. The role involves
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for future aircraft applications. Together we will make technological advances that will lead to more sustainable and safe air travel. Motivation The aviation industry is responsible for 12% of carbon dioxide
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opportunities for building important research skills and networks among your peers and research academics Entry requirements: Applicants should have, or expect to achieve, a first-class or upper-second-class
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support our staff and students to realise their full potential, from academic achievement to mental and physical wellbeing. We are committed to progressing the diversity and inclusion agenda, for example
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UK honours degree or equivalent in Engineering, Chemistry, Applied Physics, or a related discipline; a Master’s degree in these subjects would be of advantage. Funding This is a Fully-funded
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Award (IDLA). This research aims to investigate natural source zone depletion (NSZD) processes that can naturally remedy oil pollution and use this improved process understanding to enhance CoronaScreen
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, determinants and effects. Dr Irma Malafronte irma.malafronte@roehampton.ac.uk Mitigating Bias in AI Models in health care management. Building customer loyalty in omnichannel retailing/ retail services using
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PhD Studentship available in the EPSRC Centre for Doctoral Training in Robotics and AI for Net Zero (RAINZ) This studentship is offered by the EPSRC Centre for Doctoral Training in Robotics and
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environments—such as fleets with multiple aircraft types. Objectives Objective 1: Map current data types, structures, and interoperability challenges to build a detailed "as-is" understanding of current