69 data-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" uni jobs at Imperial College London
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clay resources. The project is funded by EPSRC and is titled “Engineered UK clays for production of low-carbon cements” (https://gow.epsrc.ukri.org/NGBOViewGrant.aspx?GrantRef=EP/W022583/1
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on this search. For more information, please go to https://we.tl/t-DuKTetZMLp to download the candidate pack. Please contact Constellate on info@weareconstellate.com for further information or a confidential
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the centre of the Strand campus in the heart of central London. For more information: https://www.kcl.ac.uk/engineering The Faculty: The Faculty of Natural, Mathematical & Engineering Sciences (NMES) comprises
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the skilled worker visa route, so any successful applicant would need to hold or be able to independently secure a visa with UK right to work. Further information about the Science Communication Unit can be
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evaluation, using feedback and data to inform continuous improvement of schemes. You will collaborate closely with colleagues across the Careers Service, including Careers Consultants and the Employer
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business and improve society through the power of innovative thinking. This is an outward-facing role, grounded in data and driven by the robust global relationships you will build. You will support the
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subspecialty? This is an exciting role based in the occupational lung disease service at Royal Brompton Hospital. You will help set up the UK Silicosis Registry You will be responsible for clinical data entry
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with job applications, interviews, and other selection processes. Using Data to Guide Career Development Activities: Collect and analyse data on students’ career needs and outcomes to inform and
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evidence synthesis, including systematic reviews and meta-analyses, with a strong publication record. The ability to analyse, interpret, and synthesise data from diverse sources. Proven ability to distil
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acquired experimental data. These calculations, complemented with chemoinformatic studies, will be used to subsequently develop machine learning algorithms to predict these properties and ultimately estimate