22 computer-programmer-"Multiple"-"U"-"O.P"-"FEMTO-ST-institute"-"U.S" positions at University of Sheffield
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ACCE+ DLA Programme: Small size, big impact: the importance of mosses and lichens in arctic ecosystem function School of Biosciences PhD Research Project Competition Funded Students Worldwide Prof
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ACCE+ DLA Programme: Climate change impacts in grasslands: from Australia to the world School of Biosciences PhD Research Project Competition Funded Students Worldwide Prof C P Osborne, Dr
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ACCE+ DLA Programme: The inheritance of phenotypic plasticity in a wild mammal School of Biosciences PhD Research Project Competition Funded Students Worldwide Prof J Slate, Dr Nicola Nadeau, Prof
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at international conferences, develop independent ideas, and grow as an independent researcher. Entry requirements: For entry into this PhD programme you should hold, or expect to hold, an honours degree in a
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requirements for PhD: For entry into this PhD programme you should hold, or expect to hold, an honours degree in a related subject area with a 2:1 or 1st at undergraduate level. If you have achieved
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Award at the University of Sheffield. The synthesis of small, complex organic molecules in a predictable and reliable manner enables important advances across multiple sectors from the pharmaceutical
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shared fundraising targets to help the Individual Giving team raise up to £1 million ‘cash in’ per year. Ensure ‘mid-value’ donors are stewarded through a programme of activities, including reports
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://twitter.com/TUOS_Cancer https://twitter.com/OlaTweetz linkedin.com/in/lewis-quayle/ Institutional entry requirements for PhD: For entry into this PhD programme you should hold, or expect to hold, an honours
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view to future translation to clinical practice. Work plan The project will progress in three phases, each of which are expected to lead to a published paper led by the student: Year 1. Development
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research project ‘Perceptual bias and the evolution of organismal communication signals’ as a Research Associate. The project willmake use of recent advances in computational neuroscience, machine learning