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13029 results for: ‘赚多多V10自动任务网抢单源码 会员自营版 搭建视频教程✅项目合作 二开均可 TG:saolei44✅.mgssiSJvFFSVZt’

  • Policy for students under the age of 18 years

    Occasionally we will admit students under the age of 18. Read more about the policy surrounding applicants under the age of 18.

  • Part of the students’ union: reflections from Strawbs founder David Cousins

    Strawbs founder David Cousins is interviewed by the University of Leicester about his career and his time as a student.

  • Study reviews new once-weekly Type 2 diabetes drugs

    Once-weekly glucagon-like peptide-1 receptor agonists (GLP-1RAs) differ in their efficacy and safety profiles, according to new research by researchers from the Leicester Diabetes Centre. Compared to other once-weekly GLP-1RAs which are licensed and available, dulaglutide 1.

  • Joggers pair up for charity Love Run for Valentines Day

    Some say the course of true love never runs smoothly, but the Students’ Union plans to change all of that by hosting a unique Fun Run designed to really get the heart racing. Love Run will take place at 11.

  • Richard Sandell

    Professor Richard Sandell collaborates with museums, galleries and heritage organisations, exploring the role museum's might play in impacting real people and communities.

  • Lecture series launched in memory of eminent microbiologist

    A pioneering cellular microbiologist from the Pasteur Institute in Paris will deliver the inaugural lecture of the University of Leicester’s Dorothy Jones Lecture Series on Friday 17 March 2017 from 12 noon.

  • 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.

  • Nikon objectives

    See the objectives for the Nikon microscopes in the Advanced Imaging Facility.

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