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24318 results for: ‘云黑系统,浪客云黑3.0,黑名单系统✅项目合作 二开均可 TG:saolei44✅.SkUuopImqQJGFE’

  • US Crisis Monitor

    Posted by Andrew Dunn in Social Sciences and Humanities Librarians’ Blog on July 13, 2020 US Crisis Monitor The Armed Conflict Location & Event Data Project (ACLED)   and The   Bridging Divides Initiative (BDI) at Princeton University  have launched a...

  • Meeting dates 2025-2026

    The Division of Biomedical Services AWERB quorate meets regularly. Browse the meeting dates for 2020.

  • Scientific Computing

    Module code: FS0061 Computer programming is a useful tool for all areas of science.  It allows you to speed up and automate many tasks in data processing and analysis, and offers a quick and consistent way to plot attractive graphs.

  • Rachel Winter

    The academic profile of Dr Rachel Winter, Stoneygate Associate Professor in Medical Education and Empathic Healthcare, Honorary Consultant in Old Age Psychiatry at University of Leicester

  • Harriet Walter

    The academic profile of Dr Harriet Walter, Associate Professor of Medical Oncology and Honorary Consultant Medical Oncologist at University of Leicester

  • Adam Clapton BA

    Learn more about our Senior Supervisor of ULAS, Adam Clapton.

  • Electronic Tools for Translators

    Module code: TS2004 Translation can be a tedious process - which can be made easier with the use of software, tools and resources.

  • Advanced Translation

    Module code: TS3003 This module is taught via a combination of practical lectures and workshops where you will have ample opportunities to practise translating semi-specialised texts.

  • Marketing Management and Practice

    Module code: MN7010 Marketing is a vital role within successful organisations, ranging from advertising and many other promotional techniques through to strategising and market research.

  • Quantitative Methods in Applied Health Research

    Module code: MD7432 In this module you will consider the advantages and disadvantages of a range of quantitative methodologies. We will explore statistical methods using statistical software, including descriptive, univariate and multivariate analyses.

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