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6965 results for: ‘(二开优化)众筹系统公益众筹商业众筹仿水滴筹报名活动众筹商品众筹✅项目合作 二开均可 TG:saolei44✅.MZjFoAPYDVlvyQx’

  • Cover letters

    Discover how to write a cover letter tailored to your experience and the role you are applying for.

  • Biomechanics

    Module code: EG3065 In this module, you will explore how the fundamentals of mechanics, materials and structural loading can be applied to musculoskeletal systems.

  • Biomechanics

    Module code: EG3065 In this module, you will explore how the fundamentals of mechanics, materials and structural loading can be applied to musculoskeletal systems.

  • Financial Accounting and Audit

    Module code: EC7112 This module provides an introduction to financial accounting and auditing for students who have not previously studied these subjects.

  • FAQs

    LHIIP live Q&A On the 23 January 2023, Professor Sally Singh (programme director), Professor Amanda Daley (co-director representing Loughborough University), Dr Sylvie Kilford (programme coordinator) and Frank Arsenaydis (programme fellow) hosted a Teams Live Q&A...

  • John Mitcheson

    The academic profile of Dr John Mitcheson, Reader / Associate Professor of ion channel physiology and pharmacology at University of Leicester

  • Publications

    Published research in the field of Social Epigenetics involving insects and authored by members or alumni of University of Leicester's Social Epigenetics Lab.

  • 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.

  • Adult education Theres no age limit to learning at Leicester

    Charlotte Barratt works in the Widening Participation team at the University of Leicester: "I work mainly with mature students: My work involves encouraging people over the age of 21 to come to university, to highlight their options and to try and encourage them to come...

  • 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

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