105 data-"https:"-"https:"-"https:"-"https:"-"Central-European-University" positions at Imperial College London
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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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celebrations. • Work closely with colleagues across HR, Communications, Events and other professional services to keep projects on track and information flowing smoothly. • Support the staff survey and follow‑up
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provided with the best environment to achieve their potential. Full information on duties, responsibilities and criteria for the post can be found in the attached job description. Grow in your career with
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secure new business. You will ensure accurate data entry and recording of booking information and quotes with the ability to effectively communicate requirements to all contributing Teams. You will ensure
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Imperial College London invites applications for the following two positions: Assistant Professor in Health Data Analytics Assistant Professor in Environmental Epidemiology and Data Science This is
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regards to individual performance, academic teams, the NHLI, Faculty, College and when participating in national/international initiatives. Full information on duties, responsibilities and criteria for both
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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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and managing aspects of an academic lab Proven track record of research in their area of expertise on alternative proteins or closely related area Experience in analysing biological experimental data
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crystallographic analysis of recorded time resolved data sets. You will be expected to carry out research programmes in ultrafast X-ray crystallography, undertake project management and/or supervise multi
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‑bounded turbulence. This short, intensive 9‑month position offers an exciting opportunity to advance fundamental turbulence research using DNS/LES and data-driven optimisation techniques. In this role, you