293 postdoctoral-image-processing-in-computer-science-"EPIC" positions at University of Nottingham
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, differential scanning calorimetry, characterisation of porous media) and microwave process engineering. However, you will join a multidisciplinary team and will not be expected to have prior experience in all
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of innovative computational methods using Big Data, Behavioural Science and Machine Learning to understand behaviour through the lens of digital footprint/“smart data” datasets, cutting across sectors ranging
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(School of Computer Science) External Partner: Build Test Solutions Ltd (BTS) Start Date: 1st October 2025 Eligibility: Home students only | Minimum 2:1 in a relevant discipline Stipend: Home students only
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engineering or a related discipline. Strong analytical, problem-solving, communication, and teamworking skills, along with experience in computational modelling are essential for the role. What we offer: - A
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be close to completing a PhD in computer science, mathematics, or a related area with a topic close to type theory or constructive mathematics. Expertise can be evidenced through publications
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the foundation of computer vision, monitoring, and control solutions. However, real applications of AI have typically been demonstrated under highly controlled conditions. Battery assembly processes can be
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and delivery of this programme grant workstream. You will also support trial development and process evaluation activities for Rapid Eczema Trials. You will be expected to develop new concepts and ideas
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this project as Knowledge Mobilisation lead and will be responsible for driving the strategy and delivery of this programme grant workstream. You will also support trial development and process evaluation
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of technical skills in the disciplines of Exercise Physiology, Metabolism and Nutrition for the BSc Sport & Exercise Science programme. Based between the David Ross Sports Village and the Medical
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Requirements Essential: • PhD (or near completion) in Chemical Engineering, Environmental Engineering, Sustainable Process Engineering, or a closely related field. • Demonstrated experience in techno