647 algorithm-development-"Multiple"-"Prof"-"Prof"-"Simons-Foundation"-"U.S" Fellowship positions in United Kingdom
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to play an active role in developing the programme and in organizing academic activity concerned with the countries of the Silk Roads outside of their own specific project. The ideal candidate
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Location: University Park Interview date: To be confirmed We are seeking a highly motivated and qualified Research Associate to join a cutting-edge research project focused on the development
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of Clinical Studies at The Institute of Cancer Research (ICR). This role offers an exciting opportunity to contribute to research focused on how advanced cancers adapt and develop resistance to therapies
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conditions. The researcher will also work with team members within the consortium in generating necessary data required for developing a machine learning model for storm surge prediction. Key Responsibilities
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Analyse and interpret research findings and results Main Duties The responsibilities may include some but not all of the responsibilities outlined below. Develop research objectives and implement research
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To be an active member of the Biofunctional Nanomaterials group, led by Dr Garry Laverty, supporting the development of an enzyme-responsive peptide-like hydrogel for the sustained injectable
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particularly for our Grade 9 and 10 roles. University of Hull is a leading multidisciplinary research-intensive university in North England, UK. Our university’s 2030 strategy is to develop and shape a fairer
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wider consortium project: The development of efficient microorganism-driven processes that generate bioactive natural products is of immense biotechnological, biomedical, environmental and economic
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Fixed term – 48 months Full time, 37 hours (37 hours per role) Closing date: 27/08/25 at 23:30 Are you passionate about supporting the development of resilient and well-connected communities? Do you
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. The project will define new near miss and severe morbidity definitions allowing us to identify electronically when significant events happen. We will then develop a large multi-centre maternity routine dataset