103 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "UNIV" "UNIV" positions at Imperial College London
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We’re seeking a talented and motivated postdoctoral researcher with experience in cancer or chronic disease epidemiology and strong data analysis skills to join Professor Marc Gunter’s team
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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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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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these representations to guide the identification, by debate, of (non-)compliance to PRLs of LLMs and T2Is; O3) in the case of non-compliance, using information conveyed in the debates to enforce PRLs on LLMs and T2Is
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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 Joanna Logan of Constellate Global Talent on this search. For more information, please go to www.weareconstellate.com to download the candidate pack. Please contact Constellate on info
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direction and build impactful partnerships. Imperial is partnering with Erin Hall-Westfall and Joanna Logan of Constellate Global Talent on this search. For more information, please go to
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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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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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‑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