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lecturer to develop and lead an ambitious programme of research in the field of PET Physics, with expertise and interest in PET technology, methodology and data analysis. This will involve collaborating with
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Missions Fund (TMF), CHEDDAR explores how communications systems can underpin next generation computing and how cloud systems and AI can bolster communications, as well as working in sensing and
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/senior lecturer to develop and lead an ambitious programme of research in the field of PET Physics, with expertise and interest in PET technology, methodology and data analysis. This will involve
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to have the following skills and experience: Essential criteria PhD (or near completion) in bioinformatics, computational biology, machine learning, or a related field Significant experience in the analysis
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Applied AI for Engineering, Robotics and Automation, Computer Engineering, and Electrical and Electronics Engineering. The successful candidate will contribute across the School of Engineering but will play
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affiliated with the Informatics Department in the Faculty of Natural, Mathematical and Engineering Sciences. This is a full time post (35 hours per week), and you will be offered a fixed term contract until 31
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an appropriate subject (including Computer Science, Physics, Maths, Engineering) Knowledge of modern machine learning techniques and experience with coding in Python is beneficial (but not a strong requirement
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You must have a PhD (or equivalent) in Engineering, Science, Mathematics, Statistics, Data Science, Computer Science, Economics, Planning or another related field. You will also have a developing
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the Safety and Surveillance Group and the wider Agency. The successful candidate will have: A PhD in Computer Science, Statistics, Machine Learning, Data Science or a similar quantitative discipline or
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of assessment About you The successful candidate will need to demonstrate the following criteria: A PhD or EngD in engineering, chemistry, physics, or a relevant discipline An undergraduate degree in engineering