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14394 results for: ‘museum studies’

  • 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 (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 (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.

  • Forthcoming projects

    Volunteering opportunities with the library. Find out what we're planning this year.

  • Reduced Noise Impacts of Short-Term Aircraft Noise (RISTANCO)

    Principal Investigator - Anna Hansell This National Institute of Health Research funded study aims to investigate whether day-to-day changes in aircraft noise levels affect risk of heart attack and stroke in the population living near airports.

  • Diabetes CPD by distance learning

    This is for you if... you want the flexibility of studying by distance learning whilst expanding your knowledge, skills and confidence in diabetes care to improve outcomes in patient care and personal career progression.

  • Publications

    Wang, P., Tao, Q., Dong, H., & El-Fallah, G. M. A. M. (2025). Advanced machine learning analysis of radiation hardening in reduced-activation ferritic/martensitic steels. Computational Materials Science. doi:10.1016/j.commatsci.2025.113773 Li, M., Fu, J.

  • Outgoing students

    Studying abroad can be a life-changing experience. It will give you the opportunity to broaden your academic and social horizons while enhancing your future career prospects.

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