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14259 results for: ‘CONTACT COLASHIP.SHOP TO ’

  • School children on Sakhalin

    school children on Sakhalin

  • Pride of Place

    Posted by Andrew Dunn in Social Sciences and Humanities Librarians’ Blog on May 27, 2016 A great project led by scholars at Leeds Beckett University with the support of English Heritage which is working to produce an interactive map relating to  places in England which...

  • Anton_Chekhov_with_bow-tie_sepia_image

    Anton Chekhov

  • Harriman recollected: 1899 voyage to Alaska digital collection

    Posted by Andrew Dunn in Social Sciences and Humanities Librarians’ Blog on March 14, 2025 A new digital collection from Penn State University.

  • Free access to writings covering South West Asia and North Africa

    Posted by Andrew Dunn in Social Sciences and Humanities Librarians’ Blog on May 19, 2023 SAGE is offering free access to journal articles, reference entries and chapters covering South West Asia and North Africa ‘for a limited period’ (period not defined).

  • What is the most important factor in deciding who to vote for?

    Posted by Andrew Dunn in Social Sciences and Humanities Librarians’ Blog on May 4, 2018 Find out what the  British public said in the latest Audit of Political Engagement published by the Hansard Society.

  • Aswat

    Posted by Andrew Dunn in Social Sciences and Humanities Librarians’ Blog on October 17, 2011 https://www.aswat.com/en/about A website which aims to offer a place for activists and reformers from the Middle East and Africa to post news and exchange viewpoints.

  • Arch-I-Scan blog Museum of London photography – University of Leicester

    Arch-I-Scan project's first session of pottery photography in the Museum of London

  • Engineering Principles and Experimentation

    Module code: FS0024 During this module you will get the chance to develop your experimental skills in an engineering context. This module is designed to give you hands-on experience in an engineering laboratory environment using a range of equipment.

  • Data Analytics and Machine Learning for Finance

    Module code: AF7001 This module develops the data analytics and machine-learning toolkit used to analyse financial and economic information.

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