91 parallel-and-distributed-computing-"Meta"-"Meta" uni jobs at Heriot Watt University
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March 2027) Rewards and Benefits: 33 days annual leave, plus 9 buildings closed days (and Christmas Eve when it falls on a weekday) for all full time staff. Use our total rewards calculator: https
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Role: Research Associate in Statistical Machine Learning for Computational Imaging Grade and Salary: Grade 7, £37,174 - £46,735 per annum FTE and working pattern: 1 FTE, 35hrs per week, Monday
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Job Description The Heriot-Watt Global College is the academic unit for the Bachelor Degree Accelerator Foundation Programme in Edinburgh, Foundation Programme in Malaysia and Degree Entry Programme
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: Dubai Campus Adjunct Faculty in Global College The School of Global College/ Degree Entry Programme at Heriot-Watt University Dubai is currently inviting applications for Adjunct Faculty positions in
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, extensive content writing, assisting with participation at media events, and distributing content to promote the Heriot-Watt brand and activities. The post holder will support our internal and external
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, Oracle. The role will pro-actively assist financial projects including forensic accounting on gifts to the University, ensuring philanthropic gifts are allocated, journaled, coded and distributed correctly
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maritime transport modes. Given the urgency of the challenge of transport decarbonisation, it is essential that industrial and policy stakeholders are actively engaged throughout the programme of research
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experience of using Microsoft Office, eg creating PowerPoint presentations, creating mail merged letters, setting up distribution lists in Microsoft Outlook. Experience of taking minutes, preparing and
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EDGE Create a library of promotional materials to distribute to potential licensees Contribute to, and lead, the dissemination of results from the project. Contribute to identifying business
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knowledge, technical capabilities and policy advisement relating to UK transport decarbonisation priorities through the development of digital twinning. This highly ambitious programme of research is