<?xml version="1.0" encoding="UTF-8"?><ns2:project xmlns:ns1="http://gtr.rcuk.ac.uk/gtr/api" xmlns:ns2="http://gtr.rcuk.ac.uk/gtr/api/project" xmlns:ns3="http://gtr.rcuk.ac.uk/gtr/api/fund" xmlns:ns4="http://gtr.rcuk.ac.uk/gtr/api/person" xmlns:ns5="http://gtr.rcuk.ac.uk/gtr/api/project/outcome" xmlns:ns6="http://gtr.rcuk.ac.uk/gtr/api/organisation" ns1:created="2026-07-08T08:44:08Z" ns1:href="http://gtr.ukri.org/gtr/api/projects/6FB79013-CA6A-4E9B-B6CC-BB4C6CE36ADC" ns1:id="6FB79013-CA6A-4E9B-B6CC-BB4C6CE36ADC"><ns1:links><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/persons/C2FD8826-C629-497F-BC1B-D9CFEB0C30BA" ns1:rel="PM_PER"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/89C14106-D521-4C61-9262-5FBF51F67D8D" ns1:rel="LEAD_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/89C14106-D521-4C61-9262-5FBF51F67D8D" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:end="2025-05-30T23:00:00Z" ns1:href="http://gtr.ukri.org/gtr/api/funds/2669BF27-C2FF-4C21-A52D-2CA7EB82FFD4" ns1:rel="FUND" ns1:start="2023-03-31T23:00:00Z"/></ns1:links><ns2:identifiers><ns2:identifier ns2:type="RCUK">10031889</ns2:identifier></ns2:identifiers><ns2:title>University of Aberdeen and Claxton Engineering Services Limited KTP 22_23 R1</ns2:title><ns2:status>Closed</ns2:status><ns2:grantCategory>Knowledge Transfer Partnership</ns2:grantCategory><ns2:leadFunder>Innovate UK</ns2:leadFunder><ns2:abstractText>To deploy computational modelling to optimise the deep-water cutting performance and efficiency of a novel underwater laser cutting technology for specialist Oil and Gas decommissioning operations.</ns2:abstractText></ns2:project>