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We are seeking to appoint a Research Assistant for the pre-erythrocytic malaria vaccine development programme led by Professor Adrian Hill. You will be responsible for performing immunological
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to the Head of Business Administration, you will oversee a team of HR professionals delivering a responsive, high-quality HR service across performance, employee relations, recruitment and staff wellbeing. You
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Science, focusing on high-performance deep learning for neural implicit reconstruction of ultrasound data. The goal is to advance the scalability and efficiency of neural radiance fields (NeRFs) and related
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Services Department as Team Lead (Endpoint Device Management Services), working hybrid. IT Services is a key department that ensures that the University has robust, reliable and high-performing IT facilities
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, or high performance computing would be desirable, as would any experience designing or delivering training courses. This post is offered as an open-ended position subject to external funding. It is full
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administrative team, you will play an essential role in delivering high-quality support to ensure the smooth running of the Master’s courses. You will work collaboratively with the Manager, Education Assistant
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. Excellent communication and interpersonal skills are essential, along with a structured and analytical mindset, attention to detail, and a commitment to maintaining secure, high-performing systems. What We
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. This position is part of the expanding OCTRU programming team, that ensures trial programming provision enables and proactively supports excellent research with high quality fully validated systems. On receipt
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computational workflows on a high-performance cluster. You will test hypotheses using data from multiple sources, refining your approach as needed. The role also involves close collaboration with colleagues
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of experimental data. You will primarily support the insectary at the Jenner Institute aiming for the assessment of new target antigens as vaccine candidates for the Malaria Vaccine Programme using some of the most