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psychology, immersive technology and data analytics, whilst working closely with pladis to generate insights to shape products. The successful candidate will join the University of Nottingham’s Sensory Science
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engineering knowledge. Funding support and Further Information Please discuss with Prof. Tao Yang Tao.Yang@nottingham.ac.uk for more details. View All Vacancies
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Department: Faculty of Science AI Doctoral Training Centre The Faculty of Science AI Doctoral Training Centre (DTC) invites applications from Home students for fully-funded PhD studentships to carry
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psychology, immersive technology and data analytics, whilst working closely with pladis to generate insights to shape products. The successful candidate will join the University of Nottingham’s Sensory Science
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://www.nature.com/articles/s41467-024-50598-1 ), (https://www.sciencedirect.com/science/article/pii/S0736584516300801 ). This research is driven by the need to perform repair tasks without disassembling industrial
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Architecture Design (Social Science) might be for you. We are seeking an enthusiastic, self-motivated, and resourceful PhD student, to contribute to the generation of new knowledge on the topic of 3D digital
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of their efficacy and drug-like properties by collaborators in the Schools of Life Science and other project partners. Prepare high quality supporting data for patent applications and publications resulting from
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opportunities for collaboration. About You The candidate must have obtained a PhD degree within 3 years and in the relevant areas of business administration or data analytics, such as Applied Psychology
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Supervisors: Prof Ioan Notingher (School of Physics and Astronomy) Dr George Gordon and Dr Abdelkhalick Mohammad (Faculty of Engineering) Funding: fully-funded (stipend and PhD fees) Start date
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leadership. Candidates should have either already obtained a PhD in a relevant field of chemistry or have submitted their thesis prior to starting. Expertise in the synthesis, purification, and