323 evolution "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "St" "St" positions at University of Glasgow
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our research profile. 5. Contribute to the identification of potential funding sources and to assist in the development of proposals to secure funding from internal and external bodies to support future
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to develop and enhance our research profile. 5. Contribute to the identification of potential funding sources and to assist in the development of proposals to secure funding from internal and external bodies
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impact profile. 6. Take a leading role in the identification of potential funding sources and to assist in the development of proposals to secure funding from internal and external bodies to support
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an important target for breeders interested in manipulating crop performance. Stomatal development traits, evolved over generations and across species of plants, dictate the distribution and density
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the development of proposals to secure funding from internal and external bodies to support future research and impact. 7. Take a leading role in developing and maintaining collaborations with colleagues across
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deadlines. E6 Demonstrable experience of continued professional development. Desirable: F1 Experience of preparing US GAAP Financial Statements. F2 Experience of lease accounting. Terms and Conditions Salary
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Dr Helen Mulvana and an interdisciplinary team of experts based at the Universities of Nottingham and Cambridge. The successful candidate will contribute to the development of techniques for ultrasound
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levels of tooth decay than their peers. The project: The Childsmile programme (https://www.childsmile.nhs.scot/), funded by the Scottish Government, aims to improve child oral health, and reduce
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and to assist in the development of proposals to secure funding from internal and external bodies to support future research. 6. Collaborate with colleagues and participate in team/group meetings
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Job Purpose Working with Professor Surajit Ray, you will contribute to several projects involving the development of statistical models and deep learning framework for multimodal and dynamic medical