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United Kingdom Application Deadline 28 Sep 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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of the next page after you click “Apply Now”. This document will provide information of what criteria will be assessed at each stage of the recruitment process. * Please note that this is a PhD level role but
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funded by the Engineering and Physical Sciences Research Council. Working across the Universities of Leeds, Lancaster and the Royal College of Art, INFUZE is seeking to achieve transformative change in how
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biomedical data scientist / computational biologist to join our highly collaborative team at QMUL. PhD (or close to completion) or research qualification/experience equivalent to PhD level in the relevant
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essential that you hold a PhD/DPhil (or close to completion) in mathematics, computational biology, data science, statistics, physics, or a related discipline, and have experience of analysing and
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, computational biology, physics or a related discipline, and have experience of agent-based and/or continuum modelling, analysis and simulation. You will have experience of programming in Python and C
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PhD qualified in mathematical, physical or computational sciences Experience in using machine learning methods to analyse datasets Experience in statistical or scientific programming (ideally R and/or
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testing and stakeholder engagement. Collaborate closely with the PhD researcher to connect environmental data analysis with computational design innovation. Participate in fieldwork in Norwegian glacier
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via independent study and training courses. It is essential that you hold a PhD/DPhil (or close to completion) in mathematics, computational biology, physics or a related discipline, and have experience
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About the Role To undertake research investigations in collaboration with and under the supervision of Prof Gareth Sanger in order to realise the objectives and development of the research programme