Search

13004 results for: ‘正版炫酷盲盒商城V9, 扭蛋机一番赏盲盒H5源码, 支持易支付,盲盒商城系统,支持二开✅项目合作 二开均可 TG:saolei44✅.vMgizyJxhJX’

  • Jordan

    We welcome students from Jordan. Find out about entry requirements, the Jordanian student community and other country-specific information.

  • Bahrain

    We welcome students from Bahrain. Find out about entry requirements, the Bahraini student community and other country-specific information.

  • Links to societies

    Browse links to societies related to the work we do in the Department of Molecular and Cell Biology, and see our local contact for each society.

  • Physical Geography and GIS

    Find your research degree supervisor in Physical Geography and GIS at Leicester.

  • People

    We have a team of dedicated academic staff, associate tutors, visiting fellows and honorary visiting staff, who are passionate about The Centre for Urban History.

  • Work and the GDPR: The future for algorithms and people analytics?

    Posted by hconnolly in School of Business Blog on September 20, 2018   In this post, Dr Phoebe Moore, Associate Professor of Political Economy and Technology in ULSB, discusses the implications of the recently introduced  General Data Protection Regulation (GDPR)...

  • Phenomenal space explosion astonishes Leicester researchers and shines a light on our own galaxy

    University of Leicester researchers have played crucial roles in discovering and analysing a gamma-ray burst at least 10 times brighter than anything NASA’s Swift mission has seen before.

  • 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.

  • 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.

Back to top
MENU