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Wellcome Trust and by project-specific funding from the EU Horizon programme. As part of a multi-disciplinary research team, you will contribute to analyses of the global food system. Some of the interests
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responsibilities include: 1. Meeting Rooms and Audio-Visual Support: Prepare meeting rooms based on the Computer-Aided Booking System (CABS) schedules, ensuring appropriate furniture and equipment setups meet
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an important role in the Oxford Cancer Clinical Trials Unit providing an effective administrative support service for the team running our clinical cancer research programme. This post is largely office/computer
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conventional boundaries and pursue hypothesis-led science. We will make every effort to support the successful candidate to research independence through the programme, and with training and mentoring
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/ computational biology / life sciences discipline, or relevant field such as computer science, mathematics or statistics. You will have substantial experience in the analysis of large datasets, which will allow
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We are looking for an enthusiastic and motivated Receptionist to join the OCMR team. This position serves as the first point of contact for patients visiting the MRI Cardiac clinic, as well as for visitors to the OCMR research facility. The successful candidate will be expected to provide a...
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learning, at the intersection of reinforcement learning, deep learning and computer vision, in order to train effective robotic agents in simulation. You should hold a relevant PhD/DPhil (or near completion
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About the role The Kelly lab is excited to announce a new post-doctoral position in computational biology. This position is funded as part of an international consortium of scientists who
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are seeking an individual to join our data engineering team to deliver innovative data solutions that will transform scientific research and healthcare delivery. You will work as part of the health informatics
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Machine Learning, Human-Computing Interactions, Social Sciences, and Public Health. Applicants should hold, or be close to completion of, PhD/DPhil with research experience in computer science, statistics