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relating to the role ( andrew.dunning@bodleian.ox.ac.uk ). General queries about the recruitment and application process should be directed to the Recruitment team ( recruitment@glam.ox.ac.uk ). Only
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in human-computer interaction and have a strong collaboration with other research groups in Aalto and the EU. You would also be able to travel for visits or exchanges with other world-class research
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://hr.admin.ox.ac.uk/staff-benefits Application Process Applications for this vacancy are to be made online. You will be required to upload a Supporting Statement and CV as part of your online application. Either using
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To collaborate and engage with other researchers and project partners Contribute to the maintenance and professional and safe operation of the laboratories and all associated instrumentation Contribute
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, including scenario-based and tube-based approaches, to ensure reliable operation despite significant uncertainty in weather, demand and energy prices. In collaboration with UK Power Networks and SSE Energy
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to the application process. Please quote reference NM46253 on your application and in any correspondence about this vacancy. The University actively supports equality, diversity and inclusion and encourages
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Campus, please visit http://www.hw.edu.my . For information about Purpose-Driven Education, please see our website: https://www.hw.ac.uk/malaysia/about/purpose-driven-education.htm Application Process
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An exciting opportunity has arisen for a talented computer scientist to join our team as a researcher within the Green Algorithms Initiative in the Department of Public Health and Primary Care, one
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metrics during both standard operation (primarily governed by system reliability) and extreme events (primarily governed by robustness and restoration). This will be achieved by building on previous