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, diverse and UK-wide research programme in probabilistic AI, developing the next generation of mathematically principled, scalable and uncertainty-aware AI algorithms. This will be achieved by bringing
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. Real-world application will include designing and evaluating a spatial training programme for engineering students. Uniquely, across all studies you will examine how individual differences moderate
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sites. What will you get in return: Fantastic market leading Pension scheme Excellent employee health and wellbeing services including an Employee Assistance Programme Exceptional starting annual leave
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of your thesis. Requirements: You are enrolled in the doctoral programme of DSPL45 and a doctoral student member of VISESS who agreed to the Code of Good Practice . You have successfully passed your public
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Computer Science (https://www.durham.ac.uk/departments/academic/computer-science/ ). It supports the newly founded JusTN0W initiative (https://www.durham.ac.uk/research/institutes-and-centres/csdlp/justn0w/ ), which
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Application Deadline 20 Jan 2026 - 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 related to staff
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working, flexible work environment, on-site nursery, and a sector-leading enhanced maternity scheme Employee Assistance Programme which offers access to on-demand GP appointments, wellbeing support and
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Deadline 18 Dec 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Part-time Hours Per Week 37 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description *The research must be completed and the thesis submitted through
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residency criteria which requires that they have lived in the EEA, Switzerland, the UK or Gibraltar for at least the three years preceding the start date of the research degree programme. Applicants who