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. Lots of support for health and wellbeing including discounted membership for our state of the art sport and gym facilities and access to a 24-7 Employee Assistance Programme. On site nursery is available
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, to identify promising research directions, to develop new research methods, to implement those methods in computer code, and to evaluate their performance on various data sets and applications. To take part in
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academics who would benefit from a structured development programme and provision of both formal and 'on the job' training. The posts are also open to those who are returning to academia after a career in
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. The position is associated with a project funded by the EURAMET - the metrology component of the European Union Horizon 2020 Programme. The post holder will be expected to display the initiative and creativity
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Department: Estates and Facilities Directorate Projects and Infrastructure Grade: Grade 7 Salary range: £ 38,249-£45,413 Working arrangements: Full time (nominal 35 hours) Permanent Hybrid working (minimum of two days per week onsite, depending on business need, following the initial induction/...
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The Role The successful applicant will be responsible for the design, development, and implementation of deep learning and computer vision frameworks across a range of research projects
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The Role The position is fixed term for up to 33 months and funded by the EPSRC Hub on the Mathematical and Computational Foundations of AI, titled "Mathematical Foundations of Intelligence
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The Role The Department of Theology and Religion at Durham University, in partnership with the Society of the Sacred Heart, invites applications for a 36-month Fellowship in Catholic Social Thought and Practice. The successful applicant will be expected to work on a research topic of their own...
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Researcher (R3) Country United Kingdom Application Deadline 5 Apr 2025 - 00:00 (UTC) Type of Contract Other Job Status Part-time Is the job funded through the EU Research Framework Programme? Not funded by a
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research areas relevant to the project: solar magnetic field modelling, computational fluid dynamics, or solar observational data analysis. Working knowledge of at least one scientific computing environment