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simulations to improve on existing power usage models. This research will be a key component of making computing more sustainable by providing novel insights into the energy usage of scientific software and
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machine learning (ML), artificial intelligence (AI) or related fields • Software skills in ML languages such as Python • Ability and enthusiasm to learn new technologies quickly • Ability to work highly
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experience with the Linux operating system is expected, because large software toolboxes are used and further developed. The working language at the institute is English. Experience with targeted and optimized
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-based metadata platform that you will help develop. In collaboration with stakeholders from energy research, you will develop methods to increase data and software interoperability, enabling the automated
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-related software (e.g. Clampfit, Igor) Canadian citizen or permanent resident Before applying, please note that to work at McGill University, you must be both authorized to work in Canada and willing
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• Skilled in prototyping and experimental investigations for marine vehicles • Skilled in using mainstream CFD and autonomous system softwares (e.g. Star-CCM+, OpenFoam) • Research experience in
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analysis and analytical data analysis workflows, together with other team members Implementing AI-based microscopy image analysis software as python packages Developing algorithms to deploy machine learning
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simulation software tools developed by the group. This scholarship covers the full cost of tuition fees and an annual stipend at UKRI rate (currently £20,780 for 2025/26). Additional research expenses will
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, whilst also setting the foundations for the software technologies to run on this new generation of equipment – which of course includes AI. Meanwhile we are pushing the limits of applied mathematics
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field surveys, ability to work independently in the field, experience in ecological modeling in R and/or other software. Good communication skills in written and spoken English are a requirement. A driver