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to: Identify and evaluate carbon metrics for reducing the environmental impact of AI and cloud computing Empirically evaluate different parts of the AI lifecycle, including development (training
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teaching oriented but the teaching workload can be adjusted depending on research output and other academic or administrative responsibilities (e.g. editorial roles, educational program-level leadership). A
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-reviewed journals. Generating and documenting code and datasets. Collaborating with international experts, both computational and experimental. Fulfilling the requirement of the Doctoral Programme in
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metrics for reducing the environmental impact of AI and cloud computing Empirically evaluate different parts of the AI lifecycle, including development (training), operation (inference) and use Develop
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launch and build their own businesses (at BSc and MSc level) design and develop educational materials and offerings at a course, module or programme level participate in interdisciplinary teaching
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-programme-in-electrical-engineering . Ready to apply? To apply for the position, please send the documents indicated below (in English, compiled in a single PDF) using our online recruitment system. To access