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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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. You will have experience of GCP working, communicating with participants and research staff to collect, process and store clinical research data including databasing and data management. You will have
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Applications are invited for a Research Associate* position in the intersection of machine learning and information theory. The successful candidates will be based within the Information Processing
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the process of securing internal or external funding for teaching initiatives or scholarship, and engaging in scholarly activities related to the subject area you work in and higher education practice. You will
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activities, including the process of securing internal or external funding for teaching initiatives or scholarship, and engaging in scholarly activities related to the subject area you work in and higher
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at the Department of Surgery and Cancer, Faculty of Medicine, Imperial College London at the Hammersmith campus. The duration of the post is two years. The expected starting date is 1st Aug 2025. If you require any
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with simple test rig build/procurement/operation activities. You will also support wider safety and equipment maintenance issues across the Department of Chemical Engineering as per your Line Manager’s
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: a.russo@imperial.ac.uk For queries regarding the application process contact Jamie Perrins: j.perrins@imperial.ac.uk Attached documents are available under links. Clicking a document link will initialize
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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