| Nov. 27, 2023, 2:11 p.m. |
Added
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{"external_links": []}
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| Nov. 20, 2023, 2:02 p.m. |
Added
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{"external_links": []}
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| Nov. 13, 2023, 1:33 p.m. |
Added
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{"external_links": []}
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| Nov. 6, 2023, 1:30 p.m. |
Added
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{"external_links": []}
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| Aug. 14, 2023, 1:30 p.m. |
Added
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{"external_links": []}
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| Aug. 7, 2023, 1:31 p.m. |
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{"external_links": []}
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| July 31, 2023, 1:33 p.m. |
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{"external_links": []}
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| July 24, 2023, 1:34 p.m. |
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{"external_links": []}
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| July 17, 2023, 1:33 p.m. |
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{"external_links": []}
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| July 10, 2023, 1:25 p.m. |
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{"external_links": []}
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| July 3, 2023, 1:26 p.m. |
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{"external_links": []}
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| June 26, 2023, 1:25 p.m. |
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{"external_links": []}
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| June 19, 2023, 1:26 p.m. |
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{"external_links": []}
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| June 12, 2023, 1:28 p.m. |
Added
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{"external_links": []}
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| June 5, 2023, 1:32 p.m. |
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{"external_links": []}
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| May 29, 2023, 1:27 p.m. |
Added
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{"external_links": []}
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{"external_links": []}
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| May 15, 2023, 1:30 p.m. |
Added
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{"external_links": []}
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| May 8, 2023, 1:36 p.m. |
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{"external_links": []}
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| May 1, 2023, 1:27 p.m. |
Added
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{"external_links": []}
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| April 24, 2023, 1:34 p.m. |
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| April 17, 2023, 1:29 p.m. |
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| April 3, 2023, 1:26 p.m. |
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{"external_links": []}
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| Jan. 28, 2023, 11:08 a.m. |
Created
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[{"model": "core.projectfund", "pk": 23960, "fields": {"project": 1144, "organisation": 4, "amount": 98290, "start_date": "2019-03-31", "end_date": "2021-04-29", "raw_data": 37667}}]
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| Jan. 28, 2023, 10:51 a.m. |
Added
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{"external_links": []}
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| April 11, 2022, 3:45 a.m. |
Created
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[{"model": "core.projectfund", "pk": 16060, "fields": {"project": 1144, "organisation": 4, "amount": 98290, "start_date": "2019-03-31", "end_date": "2021-04-29", "raw_data": 4473}}]
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| April 11, 2022, 3:45 a.m. |
Created
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[{"model": "core.projectorganisation", "pk": 60893, "fields": {"project": 1144, "organisation": 1047, "role": "LEAD_ORG"}}]
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| April 11, 2022, 1:47 a.m. |
Updated
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{"title": ["", "University of Strathclyde and Turner Iceni Limited"], "description": ["", "\nTo embed knowledge in wind turbine condition monitoring, failure prediction, and remaining useful life prediction, based on data driven machine learning and physical modelling approaches, to develop an advanced condition monitoring modelling system for wind turbines.\n\n"], "extra_text": ["", "\n\n\n\n"], "status": ["", "Closed"]}
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| April 11, 2022, 1:47 a.m. |
Added
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{"external_links": [3956]}
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| April 11, 2022, 1:47 a.m. |
Created
35
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[{"model": "core.project", "pk": 1144, "fields": {"owner": null, "is_locked": false, "coped_id": "27e80156-76e3-499b-b21e-694db4b0f190", "title": "", "description": "", "extra_text": "", "status": "", "start": null, "end": null, "raw_data": 4457, "created": "2022-04-11T01:31:06.288Z", "modified": "2022-04-11T01:31:06.288Z", "external_links": []}}]
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