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14824 results for: ‘QQ空间日记网站织梦整站源码✅项目合作 二开均可 TG:saolei44✅.WgLCRUSDPoh’

  • Academic clinical fellow wins Research Bursary and NIHR Poster Prize

    An Academic clinical fellow from our University’s College of Life Sciences has recently been awarded a Cancer Research UK Research Bursary and NIHR poster prize for his ACF research project.

  • Selection Committee 2022: Terms of Reference and membership

    Role As an augmented Nominations Committee, the Chancellor Selection Committee provides oversight of the process to appoint a new Chancellor for the University.

  • Speaker biographies

    Keynote address: Equality and Equity: reflections on language, assumptions and actions Professor Nisreen Alwan Professor Nisreen Alwan is a Professor of Public Health at the University of Southampton and Honorary Consultant in Public Health at University Hospital...

  • Committees

    Committees page for CEHS 2025 conference

  • Visibility

    6-12 months Technicians’ Conference – the technical staff consulted were very enthusiastic about having a conference to highlight and celebrate their achievements.

  • Debates in Archaeological Heritage

    Module code: AR1013 ‘Heritage’ is a very powerful idea, and we will begin this module by thinking about what heritage actually is and what it means in the contemporary world.

  • Debates in Archaeological Heritage

    Module code: AR1013 ‘Heritage’ is a very powerful idea, and we will begin this module by thinking about what heritage actually is and what it means in the contemporary world.

  • Computational Creativity

    Module code: CO3104 (double module) Computational Creativity introduces the theory and practice of using Artificial Intelligence (AI) for creative applications.

  • GIS in Environmental Health

    Module code: GY7710 This module will provide a broad introduction on using GIS to study the relationship of environment and human health in the context of epidemiological studies and public health inquiry.

  • R for Data Science

    Module code: GY4472 In this module you will focus on the programming language R as an effective tool for data science.

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