Search

9927 results for: ‘起名网源码/取名姓名测算系统/带起名康熙字典数据库/姓名评分/百家姓系统✅项目合作 二开均可 TG:saolei44✅.YxsdJswOJvsXMuO’

  • Alix Blockley

    The academic profile of Dr Alix Blockley, Lecturer School of Biological Sciences at University of Leicester

  • Venue

    Venue page for CEHS 2025 conference

  • Placement Project Report

    Module code: CH3652 During your industrial placement, you will have completed a research-based project. In this module, you will get the chance to communicate this to a wider audience by producing a project report.

  • Placement Project Report

    Module code: CH3652 During your industrial placement, you will have completed a research-based project. In this module, you will get the chance to communicate this to a wider audience by producing a project report.

  • Placement Project Report

    Module code: CH3652 During your industrial placement, you will have completed a research-based project. In this module, you will get the chance to communicate this to a wider audience by producing a project report.

  • Research Students

    Our researcher development programme gives you the skills required to become effective researchers, to improve your employability and to enhance your capabilities.

  • Fellowship

    The University of Leicester’s International Professional Development Unit has welcomed many visiting postdoctoral fellows from a range of countries, including China, Saudi Arabia, and Kazakhstan.

  • Not for the likes of you

    In 2001 RCMG were commissioned to undertake a research audit to advise cultural organisations on how to develop more inclusive messages.

  • Talking points a range of topical issues tackled by academics 18 June 1 July

    Professor Philip Shaw from the School of English has written an opinion piece for The Conversation where, two centuries after Waterloo, he discusses the famous painting commissioned by the Duke of Wellington after he triumphed over Napoleon.

  • Machine learning reveals clues to improved weather forecasting in our atmosphere

    Inspired by statistical mechanics, scientists co-led by University of Leicester applied algorithms designed to study molecules to atmospheric data and identified patterns in atmospheric fields that give clues to when weather variations will occur

Back to top
MENU