69 software-engineering-model-driven-engineering-phd-position Fellowship positions at University of Nottingham in Uk
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teams to design, implement, and optimise innovative solutions that push the boundaries of technology. The role will span various stages of the project lifecycle, from initial concept development to final
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of healthcare, that will serve as a model to other health systems. Researchers in the Business School are leading on the policy and implementation components of this work, and the successful applicant
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, 268002 (2021)]. We will use innovative experimental techniques employing particle tracking of model 2D vibrated particles to test fundamental theoretical concepts in statistical physics. The successful
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must have an MSc or PhD in forensic psychology, or a related field. The project involves recruitment online using a detailed survey, and a video interview, in a small subset of the sample. Recruitment
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This is a theoretical/computational postdoctoral position for the prediction and development of point defects in two-dimensional materials for applications in quantum technologies. Project
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able to plan and conduct your own work independently, whilst also being able to build relationships and collaborate with others. A PhD (or near to completion) in human metabolic physiology, nutrition
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of Nottingham. This is a postdoctoral research position on the EmpaMEG project, an MRC funded 5-year project exploring the neural basis of empathy and decision-making in antisocial populations. The project
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, and a recruitment task. Further details: View Additional Information (this will open a new window) Our University is a supportive, inclusive, caring and positive community. We warmly welcome those
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, and a recruitment task. Further details: View Additional Information (this will open a new window) Our University is a supportive, inclusive, caring and positive community. We warmly welcome those
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utilize preclinical tumour models, high dimensional techniques including spatial mass spectrometry and immunocytochemistry, alongside complementary state-of-the-art molecular biology approaches to identify