Leng, J. orcid.org/0000-0001-9790-162X (2022) Imaging the invisible: how can research software and imaging techniques help scientists study the things we can’t see? Futurum Careers. ISSN 0016-3341
Metadata
| Item Type: | Article |
|---|---|
| Authors/Creators: | |
| Dates: |
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| Institution: | The University of Leeds |
| Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) |
| Depositing User: | Symplectic Publications |
| Date Deposited: | 20 Oct 2023 09:50 |
| Last Modified: | 20 Oct 2023 09:50 |
| Status: | Published |
| Publisher: | Sci-Comm Consulting Ltd |
| Identification Number: | 10.33424/futurum314 |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:204393 |

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