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into impactful applications in global health. We welcome applicants with training in statistics, applied mathematics, computer science, or epidemiology, especially those with strong quantitative and coding skills
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outcomes within existing recording systems. Adhere to the ethical framework of the Wellbeing team and individual professional code of conduct, participating in regular clinical supervision. Keep abreast
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adhere to all Health/Food Safety Codes of Practice and Control of Substances Hazardous to Health (COSHH) regulations at all times. Assist with the transportation of commodities and equipment from one
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countries involved in the SHARE project, including developing an inductive coding schedule relevant for all countries, ensuring country workshops run as planned, and organising country collaborations
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experience with experimental design, eye-tracking, data analysis, and coding (e.g., R, Matlab, Python) are highly desirable but not essential. The project will be supervised by Dr George Malcolm and the
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, producing deployable proof-of-concept code and technical write-ups Design and execute experimentation in small teams (with guidance from senior staff) Present and document work for reuse Work at pace using
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physical sciences to understand their computational codes and develop expertise in optimizing these codes for efficient execution on supercomputing facilities. There will be opportunities for training and
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-operate with the Open University in ensuring as far as is necessary, that Statutory Requirements, Codes of Practice, University Policies and Departmental Health and Safety arrangements are complied with
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-funding/?code=GPSJUS26 Contact details If you are interested in applying, please contact Prof. Derek Bell (derek.bell@ncl.ac.uk ) or Prof. Danny MacKinnon (danny.mackinnon@ncl.ac.uk ) for an informal
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mathematical modelling of HBV. You must have experience of developing and coding up dynamical models (using Matlab, R or similar), and the ability to design and undertake modelling experiments involving data and