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13891 results for: ‘museum studies’

  • Molecular and Cellular Neuroscience

    Module code: BS3055 The human brain is the most complex structure known, and understanding it is considered the ‘final frontier’ of biology. Neurones and their supporting glial cells form the cellular building blocks of the brain.

  • Computational Chemistry and Quantum Mechanics

    Module code: CH4207 Computational chemistry is the use of computer modelling and simulation - including ab initio approaches based on quantum chemistry and mechanics - to study the structures and properties of molecules and materials.

  • Advanced Web Technologies

    Module code: CO7215 Service-oriented computing and its main implementation as part of web services is at the forefront of industrial practice in software engineering. There are two major technologies supporting WS development: Microsoft’s .

  • Analysis and Design of Algorithms

    Module code: CO7002 Algorithms are step-by-step procedures, such as those executed by computers, to solve problems.

  • Economic History

    Module: EC2034 This module covers the main themes of the Economic History of the world of the last 1000 years.

  • Penelope Allison

    Roman Archaeology Conference in Split, Croatia (5th-9th April 2022) Posted by Penelope Allison in The Arch-I-Scan Project on May 22, 2022 Please click here or the image below to be redirected to this blog post by Arch-I-Scan Principal Investigator, Professor Penelope...

  • About

    Performing Citizenship is the blog of the project ‘Performing Citizenship: Arts, Citizenship and Public Life’ funded by the College of Social Sciences and the Department of Media and Communication, University of Leicester, and is written by the Principal Investigator, Dr...

  • Sample Page

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  • Learning experience survey - Spring 2021 privacy notice

    Find out more about how the Leicester Learning Institute and Education Strategy Unit handles your data as an applicant and student at Leicester.

  • New ‘explant’ technique predicts a tumour’s responsiveness to breast cancer treatment

    Cancer researchers at the University of Leicester have developed a technique that could predict how well some breast cancer patients will respond to chemotherapy and antibody-directed cancer treatments

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