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  • Further Topics in Health Data Science

    Module code: MD7476 This module will extend your knowledge to more advanced data science topics as well as exposing you to a wider variety of topics.  You will take one mandatory teaching week (Advanced Data Science).

  • Further Topics in Health Data Science

    Module code: MD7476 This module will extend your knowledge to more advanced data science topics as well as exposing you to a wider variety of topics.  You will take one mandatory teaching week (Advanced Data Science).

  • Mutation and adaption for higher education

    Learn more about horizontal gene transfer for higher education at The University of Leicester.

  • Further Topics in Health Data Science

    Module code: MD7476 This module will extend your knowledge to more advanced data science topics as well as exposing you to a wider variety of topics.  You will take one mandatory teaching week (Advanced Data Science).

  • Easter eggs hot cross buns and the microorganisms that help create them

    With supermarket shelves filled with chocolate at this time of year, little thought goes into how the humble cocoa bean eventually becomes the popular Easter egg.

  • Goal 15: Life on Land

    The fifteenth Sustainable Development Goal is to protect, restore and promote sustainable use of terrestrial ecosystems, sustainably manage forests, combat desertification, and halt and reverse land degradation and halt biodiversity loss.

  • Computational Partial Differential Equations with Applications

    Module code: MA7011 The mathematical models arising from countless physical and natural phenomena as well as social sciences such as economics and finance are based on Partial Differential Equations (PDEs).

  • Computational Partial Differential Equations with Applications

    Module code: MA7011 The mathematical models arising from countless physical and natural phenomena as well as social sciences such as economics and finance are based on Partial Differential Equations (PDEs).

  • Training and development

    The AMF staff train users from across the university and industry in operating the electron microscopes and sample preparation techniques.

  • Computational Partial Differential Equations with Applications

    Module code: MA7011 The mathematical models arising from countless physical and natural phenomena as well as social sciences such as economics and finance are based on Partial Differential Equations (PDEs).

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