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analysis. Secure and maintain research ethics approval and manage data in line with University policy, funder requirements and applicable data protection law. Maintain transparent and reproducible research
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://aria.org.uk/opportunity-spaces/resilient-climate-and-ecosystems/accelerated-adaptation for more information on ARIA and this programme). The project is a collaboration between groups at the Universities
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skills and attributes for success: Experience in applying natural capital concepts Experience using a range of data analysis methods Ability to communicate complex information clearly, orally and in
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specialist laboratory equipment such as tissue culture hoods, PCR machines, microscopes and flow cytometers. You will maintain laboratory databases, analyse and interpret experimental data, and generate
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, utilization of software tools, and integrated data analysis. Receptor Biochemistry: Sound knowledge of the function and regulation of taste GPCRs and their involvement in metabolic networks. Publication Track
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expected to manage your own academic research and administrative activities, adapt existing and develop new scientific techniques and experimental protocols, and test hypotheses and analyse scientific data
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– Affiliated Associate Professor of Computer Vision, MBZUAI & Associate Professor, Carnegie Mellon University. Dr. Xu directs a dynamic research laboratory focused on computational biology, bioimage informatics
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respectful and fair for all. Find out more about the benefits of working at the University and what it is like to live and work in the Durham area on our Why Durham? information page. The Project Reimagining
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examines gambling behaviour and ways to address gambling harm. Two types of data will be employed. The first is publicly available data from national surveys and from the Gambling Commission, such as the
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hypothalamic cell development Perform data mining of chick scRNA-seq datasets Participate in weekly project team meetings and attend relevant research seminars, including presentation of own research data