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  2. Publications | Disease Dynamics Research Group

    www.damtp.cam.ac.uk/research/dd/publications
    9 Jul 2024: SARS-CoV-2 infection in UK university students: lessons from September–December 2020 and modelling insights for future student return.
  3. What kind of place do we wish the Cambridge sub-region to be in…

    www.damtp.cam.ac.uk/user/pvl/vision/index.shtml
    an area of economic growth with a more diverse economy and with greater local integration?
  4. 9 Jul 2024: SARS-CoV-2 infection in UK university students: lessons from September–December 2020 and modelling insights for future student return.
  5. PhD Theses | Cambridge Image Analysis

    www.damtp.cam.ac.uk/research/cia/phd-theses
    9 Jul 2024: Derek Driggs. Machine Learning for COVID-19 Diagnosis and Prognostication: Lessons for Amplifying the Signal While Reducing the Noise. .
  6. 9 Jul 2024: economic activity and optimal transport, power systems modelling, and social network dynamics.
  7. Professor Julia Rose Gog | Disease Dynamics Research Group

    www.damtp.cam.ac.uk/research/dd/person/jrg20
    9 Jul 2024: SARS-CoV-2 infection in UK university students: lessons from September–December 2020 and modelling insights for future student return.
  8. 9 Jul 2024: Leadership & mentorship. Mihaela was Founder and Director of the UCLA Center for Engineering Economics, Learning, and Networks (2011-2016).
  9. Derek Driggs | Cambridge Image Analysis

    www.damtp.cam.ac.uk/research/cia/derek-driggs
    9 Jul 2024: Search site. Cambridge Image Analysis. Derek Driggs. Machine Learning for COVID-19 Diagnosis and Prognostication: Lessons for Amplifying the Signal While Reducing the Noise.
  10. 9 Jul 2024: The Sixteenth Marcel Grossmann Meeting. (2023). 1891. (doi: 10.1142/9789811269776_0148). Lessons for adaptive mesh refinement in numerical relativity.
  11. Professor Ray Goldstein | Biological Physics & Mechanics

    www.damtp.cam.ac.uk/research/biophys/person/reg53
    9 Jul 2024: Selected Recent Publications. 1. Coffee Stains, Cell Receptors, and Time Crystals: Lessons From the Old Literature, Raymond E.

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