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venues and workshops) together with the ability to design, run, and make sense of large-scale experiments on foundation models. Informal enquiries may be addressed to Fazl Barez at [email protected]
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of compute processors. Today’s AI compute processors have multi-Terabit/s interfaces to share intermediate data for distributed training and processing, generating large traffic flows. Low and deterministic
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At the University of Vienna almost 11,000 personalities work together towards answering the big questions of the future. Around 7,700 of them do research and teaching, around 3,000 work in
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Supervisor: Dr Tim Halim Course start date: 1st October 2027 Project details For further information about the research group, please visit our website at https://www.cruk.cam.ac.uk/research-groups
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the landscape of novel target expression, quantify its heterogeneity, and the contribution of tissue architecture as a determinant of expression profiles. This project will involve large scale data processing and
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experimental or real-world data. Strong analytical, independent research, and communication skills, with motivation to publish in leading journals and conferences. Desirable Criteria Experience with advanced
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of personhood and identity. Yet, AI technologies (e.g. large language models and deep neural networks) challenge forgetting as the technologies ‘never forget’ and challenge secrecy by collecting data and
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at large. The University of Edinburgh is a world-class organisation. We look for the best in the field across all disciplines and provide a working environment where academics can develop their careers and
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machine learning. The project combines methodological research in statistics with applications to large-scale social science data. The successful candidates will have the opportunity to collaborate closely
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where knowledge is created and where it is ultimately translated into technological and economic value. The project combines large-scale longitudinal data on PhD recipients with complementary sources