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Field
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people to do outstanding things in the world. Being a part of Durham is about more than just the success of the University, it’s also about contributing to the success of the city, county, and community
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techniques Proficiency in statistical software (e.g., SPSS, R, or similar) Strong communication, teamwork, and flexibility. As one of the largest employers in Oxford we pride ourselves in the great experience
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science into advances in clinical practice. Our community of world-renowned researchers have access to state-of-the art core facilities and expertise, including facilities for high-throughput screening and
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highly-ranked journals. Demonstrable ability to present research papers at international conferences and communicate complex information to specialists and within the wider academic community. Skills
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with the possibility of renewal. This project addresses the high computational and energy costs of Large Language Models (LLMs) by developing more efficient training and inference methods, particularly
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. Relevant language skills are desirable, but not a requirement for the post. Preference may be given to candidates who have experience of working with national and international archives that are relevant
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, data generation and analysis, and scientific communication. We welcome applicants with a background in any of the following areas: Cancer immunology or vaccine development; Single cell genomics
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excellent communication and organisational skills and attention to detail. Applicants should have a keen interest in research and be dedicated to the team’s output. Application Process You will be required
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fieldwork experience, including managing data collection within multiple forestry systems. Ability to communicate research findings clearly in oral and written formats to collaborators and to work
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the literature within the field, and able to work independently as well as within a team. You will be able to communicate your work both internally and externally, manage collaborations with other laboratories in