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interaction (HCI), electronic engineering, design engineering, science and technology studies (STS), music composition/performance, musicology or anthropology. (E) Practical experience within a research
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continuous monitoring. They will be responsible for the implementation of the College’s financial policies on all transactions and develop and continuously improve department processes related to finance
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an enthusiasm for creative solutions and process improvement Desire to continually learn and improve Understanding of requirements gathering, and turning those requirements into star schemas The opportunity
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at j.devlin11@imperial.ac.uk . For queries relating to the application process please contact Ms Sanja Maricic, CCM Operations Manager, at s.maricic@imperial.ac.uk . Attached documents are available under links
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software engineering, and ultimately accelerating the research process. You will work under general direction with a clear framework of accountability, while exercising substantial personal responsibility
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@imperial.ac.uk For queries regarding the application process contact: Paula Brown, Section Administrator – paula.brown@imperial.ac.uk Attached documents are available under links. Clicking a document link will
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-intensive or similarly complex organisation. A demonstrable ability to create and implement new operational structures and processes. Exceptional people management and leadership skills, with a track record
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available immediately and will be based within the National Heart and Lung Institute on the Hammersmith Campus. This post is computer based so there is opportunity for hybrid working however you are expected
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infections. Through pioneering research in advance synthesis, chemical glycobiology, immunology and structural biology and biophysics, the network aims to deepen our understanding of the biosynthesis processes
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epilepticus. You will work in the group of academic neurologist and computer scientist Dr Gregory Scott, with a team of collaborators having expertise in translational neuroscience, clinical neurology, signal