124 data "https:" "https:" "https:" "https:" "Stanford University" positions at Imperial College London
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stakeholders is clear and timely. You will analyse service data, monitor performance and identify opportunities to improve efficiency and customer experience. Working closely with colleagues across maintenance
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gas challenges. You will particularly gain skills in the principles and practice of running mechanistic clinical studies from practical aspects through to handling data. In addition to supporting
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Intelligence, data science and biomedical modelling. This post is funded by Glaxo Smith Kline Research and Development Ltd. You will be part of MiMeC, a new collaboration applying mechanistic and data-driven
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. To this end, the project integrates state-of-the-art knowledge from different disciplines such as algebraic topology, differential geometry, machine learning, and computer vision. You will conduct original
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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