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student researchers. Applicants should hold a first degree in Computer Science, Artificial Intelligence, Engineering, Physics, Mathematics or a related field. Previous experience with experience developing
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these mappings work. We need approaches that combine predictive power with scientific insight: models whose internal representations align with phonetic and physical knowledge. This requires hybrid machine
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Trust-funded project on Plasma-Assisted Combustion (PAC) Modelling of Ammonia, in collaboration with the York Plasma Institute. The successful candidate will develop and apply advanced computational
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intelligence shapes welfare governance and migration management across Europe. The role is jointly based in the School of Society and the Environment and the School of Electronic Engineering and Computer
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of people and contributing to the executive leadership of the organisation. Applications close on 23 April, at 11.59pm. Stage 1 of the interview process will be scheduled for 8 May 2026. Stage 2 (interviews
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forefront of human T-cell immunology using cutting edge cellular, molecular and computational approaches. Your project will either focus on the molecular regulation of new T cell functions and signalling
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will coordinate placements, deliver innovative teaching and contribute to assessment and curriculum improvement across the MD program. You will build your academic profile through educational leadership
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identified schools to support KS4 students to reach the very top grades in GCSE Mathematics or equivalent, by providing a sustained programme of resources and online mentoring. In particular, we will focus
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second (2.1) class degree in Physics plus a Master's degree in Physics before the programme starts. The rapid move to wireless devices and the proliferation of cloud-based technologies call for denser
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consortium, and with the wider international MIXS team. About you You will hold a PhD in planetary magnetosphere physics or space plasma physics, with particular expertise in magnetosphere-surface coupling