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Field
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PhD Opportunity: Multi-Omic Integration for Precision Oncology; Transform cancer care through genomics, data science, and translational biology. Swansea University are pleased to offer a fully
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-periodic structures, we can precisely control the interaction of radiation with matter, potentially achieving unprecedented timing resolution (sub-70ps) and significantly enhancing signal detection. This PhD
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Loughborough University Vice Chancellor’s PhD Cluster – Super-Smart Textiles (SuS-Tex) for Healthcare and Sports. The Doctoral Researcher will join a cohort of five researchers belonging to the SuS-Tex cluster
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development. To be considered for this position, you will hold a good honours degree and a PhD (or equivalent professional experience) in a relevant discipline such as Mechanical Engineering, Materials Science
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Applications are invited for a Research Assistant in chemical engineering and mechanical engineering with a particular emphasis on chemical energy material characterisation . The research project
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Applications are invited for a PhD project within the Faculty of Engineering, in the Centre for Additive Manufacturing research group (CfAM) at the University of Nottingham. The student will work in
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institutions in the programme grant and with supporting industrial partners. About you You should possess a university PhD degree in mechanical engineering or a similar discipline, preferably with experience
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science and engineering. Develop an individual research strategy and profile in icing science and engineering. About You You will hold a PhD (or close to completion) in aerospace engineering, mechanical
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Design and Manufacturing Engineering to Tackle Global Sanitation Challenges - MSc by Research or PhD
for engineers who can seamlessly integrate design optimization with advanced manufacturing techniques. This multidisciplinary field combines mechanical engineering, materials science, and manufacturing technology
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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