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  • Jennifer Creese

    The academic profile of Dr Jennifer Creese, Lecturer SAPPHIRE Research Group at University of Leicester

  • SFP Research Supervisor Guidance

    SFP Research Supervisor Checklist   1. F1 – Early Planning Meet with the trainee to discuss interests and identify a realistic, achievable research project. Outline any required approvals (e.g.

  • Physical Volcanology

    Module code: GL3116 What causes giant explosive eruptions? How do volcanologists figure out how a volcano has behaved in the past, and how do they predict its future? In this module, you'll consider the catastrophic processes at work in volcanoes, from pyroclastic density...

  • Media and The Body

    Module code: MS3013 In this module, you'll examine the ways in which our experiences of our bodies and those of others are highly mediated.  You'll consider the theoretical and conceptual foundations to help you to understand the body and consumer culture.

  • Museums and Transformation: Evidencing Need and Assessing the Impact of Socially Engaged Practice

    Module code: MU7564 Increasingly museums and galleries are tasked with evidencing their impact on and contributions to their communities.

  • Postwar Italian Directors

    Module code: IT3139 This module explores the developments of postwar Italian cinema through the work of some of its prominent directors.

  • Legal Responses to Global Injustice

    Module code: LW7090 In this module, we will look at some of the methods of implementing international human rights law, ranging from the framework of the United Nation and the specialised agencies to regional systems and the domestic implementation of international human...

  • Foundations of Law

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  • Mathematics and AI Project

    Module code: MA3582 This module aims to teach the skills necessary for independent research in the area of mathematics with the focus on the theory and/or application of Artificial Intelligent systems to real-world problems.

  • Operational Research

    Module code: MA7077 You will be able to recognise, formulate, and classify linear and nonlinear optimization problems.

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