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Field
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University provides an ideal setting for this research, offering a wealth of resources and expertise in engineering and digital technologies. The expected outcome of the project is the development of novel
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physiology etc. This PhD project is suitable for applicants with a background in Electrical and Electronic Engineering or closely related fields. Candidates with a strong interest in RF engineering and/or
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horizons. It plays a pivotal role in the £65 million Digital Aviation Research and Technology Centre (DARTeC), leading advancements in aircraft electrification, autonomous systems, and secure intelligent
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yeasts collected from around the globe and offers the opportunity to better characterise these novel isolates whilst seeking a practical solution to an economically important spoilage problem. The post
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to achieve, at least a 2.1 honours degree or a master’s in a relevant science or engineering related discipline. Applicants should have strong background in Machine Learning and Deep Learning. To apply, please
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necessitate regular in-person sessions in North Tyneside, and some local travel. The post holder will be required to hold/undergo an enhanced DBS check. Informal enquiries are welcome. Please contact Dr Vic
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(Greater) (GB) STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo Blogger Qzone YahooMail
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overnight stay for post anaesthesia recovery. The needed post-operative care is predicted manually based on a pre-operative assessment for surgeries case selection to be scheduled for each day. This decision
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of contact (e.g. online chat, e-mail or telephone) and explore potential linkage to other helpline datasets (e.g. AgeUK). In the 2nd and 3rd year of the PhD research, the data will then be used to conduct
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science, engineering, mathematics, or related subject) Proficiency in English (both oral and written) Essential to have strong foundations in computer systems through degree courses or equivalent work experience