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collaboration with the world-leading Briscoe lab at the Francis Crick Institute. It is using mathematical and machine-learning methods to study the early development of the neural system and developing those
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, specifically modelling burrowing behaviour and its impact on the skull. Responsibilities include conducting a range of computer simulations using discrete element and finite element methods, as
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opportunities to build an international research portfolio. The post holder will work on developing and testing study design and data analysis methods, particularly related to cluster randomised trial designs and
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related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake management/administration arising from research
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(STFC, Daresbury), Prof. Jonathan Tennyson (University College London) and Prof Michael Charlton (Swansea). The Research Fellow will work on the development of methods and computer programs adapted
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to work on related methods, including development of simulation-based analysis and computational methods. You will work closely with a multidisciplinary team, including clinicians, epidemiologists
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exciting project that will develop new approaches to handle missing data in statistical analyses based on machine learning methods. The Research Fellow will be based in the Department of Medical Statistics
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, assembling, and testing electronic systems, and have familiarity with the principles and operation of optical imaging methods and technologies. Demonstrable skills in data processing and computer-aided design
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child health. The position is based at the MRC Lifecourse Epidemiology Centre, and part of an NIHR-funded programme of research which aims to inform how people can be better supported to plan and prepare
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work closely with Dr. di Pietro, who is a Consultant Gastroenterologist and Senior Clinical Investigator Scientist. Dr. di Pietro is an expert in the use of endoscopy-based methods for the identification