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can contribute to our multidisciplinary research programme. Candidates should demonstrate experience in at least one of the following areas: Developing, implementing, or adapting Python-based codes and
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station, and its founding deeply aligns with the national strategic needs in promoting talent cultivation and innovation as well as that of UNNC. UNNC’s undergraduate programme of Business Administration
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of a PhD · Expert knowledge of statistical modelling, statistical inference and use of relevant software (e.g. R/Python) both for data processing, visualisation and programming. · Excellent communication
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multidisciplinary and multicultural team. · Ability to devise, advise on and manage a research programme. · A consistent track record of high-quality peer reviewed publications in cardiac electrophysiology modelling
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awarded within 3 years in business administration, computer science, information systems, data science, or a related discipline. Programming & Data Skills: Strong proficiency in Python (e.g., NumPy, Pandas
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station, and its founding deeply aligns with the national strategic needs in promoting talent cultivation and innovation as well as that of UNNC. UNNC’s undergraduate programme of Business Administration
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, with desirable skills including building or aligning bespoke systems. Strong programming and data-analysis skills (e.g. Python and/or MATLAB) for processing signals and imaging data. The ability
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will have specific responsibility for research and for developing research objectives and proposals on behalf of the Digital Cancer Screening Research Group. The role holder will be expected to plan and
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/entity linking, information extraction, machine learning, representation learning, uncertainty estimation, explainable AI, or information aggregation/fusion, together with strong programming skills. You
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research collaboration across seven institutions (Leeds, Keele, Nottingham, Oxford, Imperial, Southampton and Aberdeen) funded by Arthritis UK. You will be expected to plan and conduct work to identify