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The Faculty of Arts, Computing and Engineering is seeking to appoint a Principal Lecturer to lead our high performing Cyber and Computing subject area for an 18 month fixed term period. This is an
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development of robust statistical approaches appropriate to digital health research. The role will work closely with clinical, data science, epidemiology and technology colleagues across the EMBRACE programme
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attacks specific to a single model or setting. Candidates should possess a PhD (or be near completion) in PhD in Computer Science, AI, Security, or a related field. You will have a Strong background in
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the specific engineering details of the contact layer created during the Linear Friction Welding (LFW) of Titanium alloys. The successful candidate will have a first-class or upper second-class honours degree in
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for cereal crops. The role will combine computational chemistry, soil/environmental chemistry, materials characterisation and applied product development, translating molecular-level understanding of biochar
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leadership role with broad responsibility for translating emerging biology into a development programme. You will define the evidence required to advance the platform, establish clear development priorities
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health using state-of-the-art imaging, sensors computational modelling and data science. The successful candidate will play a leading role in developing and implementing computational pipelines for MRI
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About the Role This role sits within IT Services as part of the AI & Automation (AAA) Programme, which is embedding AI and automation into how Queen Mary University of London operates. The AAA team
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programme Collaboration with Stanford University and the global LITE network Advanced training in quantitative proteomics and computational biology Relocation support and eligibility for LITE Care & Career
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“participation”, and will consider candidates with a PhD in a variety of fields, including experimental and quantitative social sciences, human-computer interaction (HCI), design research, experimental psychology