120 data-"https:" "https:" "https:" "https:" "https:" "https:" "SciLifeLab" positions at Imperial College London in United Kingdom
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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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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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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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You will provide technical support to the Tate Group with a primary focus on running, optimising, and expanding chemoproteomics workflows. You will be responsible for sample preparation and data
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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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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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the protocols used to control and communicate sensitive patient information, all the way up to interventional devices and systems for personalised healthcare. We are particularly looking for an IC
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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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suitable techniques, and apparatus, for the collection and analysis of data To maintain highly organised and accurate record of experimental work To actively participate in the research programme of
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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