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the university. We are committed to maintaining a safe and secure environment for our students, staff, and community by reinforcing our Safer Recruitment commitment. We're very proud to be a signatory of the Armed Forces
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reinforcing our Safer Recruitment commitment. We're very proud to be a signatory of the Armed Forces Covenant . an accredited Disability Confident Leader ; autism friendly university , committed to building
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are committed to maintaining a safe and secure environment for our students, staff, and community by reinforcing our Safer Recruitment commitment. We're very proud to be a signatory of the Armed Forces Covenant
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higher education for our students to gain valuable practice learning experience onsite, to support local and regional NHS partners, and provide a data-rich research environment for our students, staff and
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programming courses) C++ (for advanced programming and system-level development) Strong foundation in object-oriented programming principles and software design patterns Experience with AI/Machine Learning
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devices, the research will integrate established classical protection schemes with data-driven methods, including artificial intelligence and machine learning. The proposed protection strategies
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, machine learning, or data assimilation, with an interest in large language models and emerging AI methods The ability to work independently and collaboratively within an interdisciplinary and international
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Interviews expected to be held on the 13th and 14th May 2026 Applications are limited to existing University of Leeds Students who will be students in the Academic year 2026_2027 The Learning
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Vessel Disease group. You will learn and perform physiological assessments including transcranial Doppler and cardiovascular physiology, MRI imaging studies including respiratory gas challenges, as
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an exciting next step, this role offers the opportunity to make a meaningful impact on teaching and learning at Queen Mary University of London. In this role, based within the Queen Mary Academy, you will play