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Targeting RNA replication in SARS-CoV-2 - MRC Laboratory of Molecular …
https://www2.mrc-lmb.cam.ac.uk/targeting-rna-replication-in-sars-cov-2/3 Feb 2021: The work was funded by UKRI MRC, a Vice-Chancellor’s Award from the Cambridge Commonwealth, European and International Trust, a Bradfield scholarship, and Cancer Research UK.
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How the fate of immune cell precursors is decided - MRC Laboratory of …
https://www2.mrc-lmb.cam.ac.uk/how-the-fate-of-immune-cell-precursors-is-decided/11 Jan 2021: The work was funded by UKRI MRC, Wellcome Trust, and a Croucher Cambridge International Scholarship.
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Scaling-up grid manufacture to solve bottleneck in cryo-EM - MRC…
https://www2.mrc-lmb.cam.ac.uk/scaling-up-grid-manufacture-to-solve-bottleneck-in-cryo-em/3 Nov 2021: The work was funded by UKRI MRC, the Wellcome Trust, a Vice-Chancellor’s Award (Cambridge Commonwealth, European and International Trust) and a Sir John Bradfield Scholarship from Trinity College, Cambridge.
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Evidence for Better Lives Study (EBLS) EARLY CAREER RESEARCH ...
https://www.vrc.crim.cam.ac.uk/files/ebls-ecrn-2021.pdf17 Mar 2021: factors on the effects of victimisation. Email: lc749@cam.ac.uk. International (non-EBLS site) members, continued. ... including the Cambridge International Scholarship (funded by Cambridge Trust and Newnham College),. -
Nanoparticle surfactants for kinetically arrested photoactive…
https://www.np.phy.cam.ac.uk/files/naturenano21_cbqdnp.pdf21 Oct 2021: Articleshttps://doi.org/10.1038/s41565-021-00949-6. 1Melville Laboratory for Polymer Synthesis, Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, UK. 2Institute of Physical Chemistry, Polish Academy of Science, Warsaw, -
Predicting power conversion efficiency of organic photovoltaics:…
https://como.ceb.cam.ac.uk/media/preprints/c4e_preprint_268_osc.pdf23 Feb 2021: Predicting power conversion efficiency of organic photovoltaics: models and data analysis. Preprint Cambridge Centre for Computational Chemical Engineering ISSN 1473 – 4273. Predicting power conversion efficiency of organicphotovoltaics: models
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