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London School of Economics and Political Science; | London, England | United Kingdom | about 1 month ago
entail close collaboration on a number of new and ongoing projects on a broad range of topics in applied microeconomics, development economics and political economy, using “big data” and experimental and
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. They will demonstrate the ability to manage multiple priorities, work under pressure and maintain excellent attention to detail. Key responsibilities include managing event data and evaluation processes
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Hicks, to support the project. You will work within a collaborative team, supporting participant recruitment, scheduling and conducting interviews, managing and analysing data, and writing a lay summary
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Confidence working with systems and data, including CRM databases and Microsoft tools Effective organisational skills, with the ability to manage competing priorities and support others in their delivery A
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developing integration applications and data integrations using cloud technologies? We have a great opportunity for a Senior Developer (Integrations)to join an innovative development team responsible
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the current titers through process parameter optimisation and develop a multi sensor flask system to accelerate scale-up data collection . You will focus on the development of continuous fermentation and
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to transform how we understand and effectively use data across Imperial. Imperial is recognised worldwide for being at the forefront of education and research and, at the foundations of our academic excellence
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of extension by 1 year. This project involves searching new particles using the data from the ATLAS experiment at the Large Hadron Collider. The successful candidates will analyse data from the ATLAS experiment
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companies with the world's largest harmonised agricultural data archive and environmental impact calculation tools. The Role We're seeking a Technical Projects Lead to manage our government and NGO contract
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refined skills in analytical chemistry laboratory techniques, including chromatographic and mass spectral data interpretation, process improvement and problem solving. Experience of operating and