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13044 results for: ‘museum studies’

  • Advanced Physical Chemistry

    Module code: CH3203 During your previous two years of study, you will have learnt the core principles of physical chemistry.

  • Stellar Astrophysics

    Module code: PA3602 This module will build on your knowledge in speciality physics by further exploring topics in stellar astrophysics.

  • NC3Rs guidelines

    Find guidelines for how to report using animals in research in publications and other outputs from the NC3Rs.

  • Am I a mature student?

    Find out if you’re a mature student. You will be if you are applying for one of our undergraduate degrees and you will be 21 or older when you start your course.

  • Research Methods

    Module code: AF7502 This module provides a rigorous foundation in financial research design and empirical analysis equipping you with the conceptual and technical skills required for advanced research in finance.

  • Research Methods

    Module code: AF7502 This module provides a rigorous foundation in financial research design and empirical analysis equipping you with the conceptual and technical skills required for advanced research in finance.

  • January 2021 Digest

    Posted by Physics & Astronomy in Physics and Astronomy Blog on 1 February 2021 With 2020 now behind us, the Physics Community team would like to say a virtual “welcome to 2021,” and to share some of the stories on our School blog from the past few weeks.

  • Unravelling the assumptions in learning outcomes – University of Leicester

    The 'Learning Outcomes Project' at the University of Leicester. Unravelling the assumptions in learning outcomes.

  • New research project to improve early recognition and treatment of perinatal complications

    University of Leicester-led study to explore women’s use of websites and apps to diagnose problems during later stages of pregnancy.

  • Artificial Intelligence tool successfully predicts fatal heart rhythm

    In a Leicester study that looked at whether artificial intelligence (AI) can be used to predict whether a person was at risk of a lethal heart rhythm, an AI tool correctly identified the condition 80 per cent of the time.

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