431 machine-learning "https:" "https:" "https:" "https:" "https:" "Cardiff University" Fellowship positions in United Kingdom
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years and in the relevant areas of Machine Learning / Artificial Intelligence, Credit Risk Modeling and Operations Optimization Modeling; The candidate must have strong programming skills in Python, and
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& Professional Learning team. -All FMH staff are entitled to ten days staff development per year (pro rata). Please speak to your Line Manager about how you can utilise these. Access to on-site childcare, shopping
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work under the supervision of Prof. Stam Sotiropoulos and Prof. Markus Kaiser and their established teams (https://conilab.nottingham.ac.uk https://www.dynamic-connectome.org/ ) in using brain MRI and
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programming such as Python, R, MATLAB, or other similar programs and experience in using simulation/optimisation models and advanced data handling techniques e.g. machine-learning techniques, statistics
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to the patient. Further information can be found on our website http://www.ucl.ac.uk/pharmacy/ About the role This is an exciting opportunity to join the Research Department of Practice and Policy, conducting
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2028 working 21 hours per week. We are looking for a Senior Research Fellow in Statistics to advance the dynamic research portfolio of the Population Data Science group (https://popdatasci.swan.ac.uk
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Date: 19 Jan 2026 Category: Research and Teaching (R&T) Where to apply Website https://academicpositions.com/ad/university-of-nottingham/2026/rights-lab-resea… Requirements Research FieldJuridical
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details of two referees as part of your online application. Please see the University pages on the application process at https://www.jobs.ox.ac.uk/application-process The closing date for applications is
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. We support staff wellbeing with flexible working options, work-life balance initiatives and support for physical and mental health. You can find more detail on all of this and more at https
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on Smart Fibre-Optic High-Power Photonics (HiPPo). The HiPPo programme (https://www.hippo-laser.co.uk/ ) is focused on understanding how to control the properties of fibre lasers, to go beyond the “fixed