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1. Art takeover at Liverpool’s iconic Lewis’s building

   An ambitious public-facing art exhibition CLEARANCE! is now on display at Liverpool's iconic former Lewis's department store building, showcasing the work of MA Fine Art students and graduates.

2. REF 2021: A "truly remarkable result" for Art and English

   Staff are "utterly dedicated, passionate and knowledgeable"

3. Artificial Intelligence to give new access to 500-year-old manuscripts

   Ground-breaking computational methods will be used by a team of researchers to advance the access of historical collections and study the history of Early Colonial Mexico.

4. Graduation review: Wednesday 20 November 2019

   Here are some highlights of what happened at the first two graduation ceremonies of the week.

5. Staff survey about online teaching during COVID

   Students at Liverpool School of Art and Design are asking staff to complete a short survey about their experience of online teaching during the pandemic.

6. Over 200 pieces of artwork catalogued across LJMU campus

   As LJMU prepares to celebrate 200 years, over 200 pieces of artwork belonging to the university have been catalogued

7. LJMU and Baltic Creative collaboration set to equip region with more creatives

   In a bid to better connect students with digital and creative businesses across the Liverpool City Region, Liverpool John Moores University (LJMU) has signed a memorandum of understanding (MoU) with Baltic Creative Community Interest Company (CIC).

8. LJMU funds 100 interns for local business

   KEY roles in Liverpool businesses are being filled by LJMU undergraduates under a new employability scheme.

9. Exhibition Research Lab presents: Printed Matter

   Printed Matter is a series of inter-connected exhibitions that reflect the collaborative nature and global reach of printmaking, compiled and curated by Hannah Fray, Paul Davidson and Neil Morris, Printmaking staff at LJMU’s School of Art and Design.

10. Machines that 'learn how to learn'

    Researchers have developed a new approach to machine learning that mimics humans ability to learn how to learn.