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  • Leicester engineer receives top award from HRH The Prince of Wales

    Mechanical Engineering student Abike Looi- Somoye has been presented with a national award by HRH The Prince of Wales at the annual Industrial Cadet Awards event in London.

  • Leicester student mentored by ITV News Central wins Breaking Into News competition

    Sally Wynter from the Department of History of Art and Film has won the 2015 Breaking Into News initiative, run by ITV News and Media Trust. She won the competition after developing a news report that showed how a local charity was tackling homelessness.

  • Social Sciences and Humanities Librarians’ Blog: Academic and staff blogs from the University of Lei

    Academic and staff blogs from the University of Leicester

  • Social Sciences and Humanities Librarians’ Blog: Academic and staff blogs from the University of Lei

    Academic and staff blogs from the University of Leicester

  • Andrew Dunn: Page 20

    Academic Librarian.

  • Distrust of Employer’s Responses to COVID-19 Could Increase Both Presenteeism and Absenteeism in UK

    Posted by Chris Grocott in School of Business Blog on May 20, 2020 People’s trust in their employer’s response to COVID-19 will shape their attitudes to returning to the workplace, Professor Stephen Wood writes.

  • Andrew Dunn: Page 57

    Academic Librarian.

  • Trace Evidence Analysis

    Module code: CH7202 This module explores the key techniques in trace evidence analysis. You will learn about the recovery and enhancement of latent fingerprints and delve into the analysis of various trace evidence like hair, fibre, paint, and soil.

  • Trace Evidence Analysis

    Module code: CH7202 This module explores the key techniques in trace evidence analysis. You will learn about the recovery and enhancement of latent fingerprints and delve into the analysis of various trace evidence like hair, fibre, paint, and soil.

  • Trace Evidence Analysis

    Module code: CH7202 This module explores the key techniques in trace evidence analysis. You will learn about the recovery and enhancement of latent fingerprints and delve into the analysis of various trace evidence like hair, fibre, paint, and soil.

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