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14108 results for: ‘museum studies’

  • Virtual exhibitions

    Photographic sets taken and curated by artists within an interdisciplinary research network studying and exploring Luigi Ghirri's work and legacy in photographic art.

  • Iraq

    We welcome students from Iraq and Kurdistan. Choose your country/region to find out more.

  • Upcoming events

    View the Leicestershire Healthcare Inequalities Improvement Doctoral Training Programme upcoming events

  • Advanced Statistical Modelling (Part-time)

    Module code: MD7468 Generalised linear models This module will start by introducing the theory of generalized linear models (GLMs) in terms of exponential family of distributions and discussing special cases of GLMs, such as normal, Poisson or binomial regression.

  • Advanced Statistical Modelling (Full-time)

    Module code: MD7444 Survival analysis Survival analysis is concerned with data where we measure the time to an event. In medicine we are often interested in death, i.e. we want to keep people alive and make them live longer.

  • Advanced Statistical Modelling (Part-time)

    Module code: MD7468 Generalised linear models This module will start by introducing the theory of generalized linear models (GLMs) in terms of exponential family of distributions and discussing special cases of GLMs, such as normal, Poisson or binomial regression.

  • Advanced Statistical Modelling (Full-time)

    Module code: MD7444 Survival analysis Survival analysis is concerned with data where we measure the time to an event. In medicine we are often interested in death, i.e. we want to keep people alive and make them live longer.

  • Advanced Statistical Modelling (Part-time)

    Module code: MD7468 Generalised linear models This module will start by introducing the theory of generalized linear models (GLMs) in terms of exponential family of distributions and discussing special cases of GLMs, such as normal, Poisson or binomial regression.

  • Advanced Statistical Modelling (Full-time)

    Module code: MD7444 Survival analysis Survival analysis is concerned with data where we measure the time to an event. In medicine we are often interested in death, i.e. we want to keep people alive and make them live longer.

  • Can Black Hole Tidal Disruptions Leave Remnants?

    Posted by Physics & Astronomy in Physics and Astronomy Blog on 22 April 2020 A guest blog from Professor Andrew King on black holes and observations from NASA’s Chandra X-ray Observatory and ESA’s XMM-Newton.

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