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information retrieval, multimodality sensemaking, question answering and chain-of-thoughts. The Research Fellow will work on a project to conduct the research on development of multimodal large language models
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completion of a PhD/DPhil or other doctoral-level qualification in epidemiology, biostatistics, big data or a relevant discipline. With demonstrable experience of working with population registers and large
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encouraged to interact widely with this group and with the other scientists across the wider university. The post is based at the Department of Psychiatry at the Warneford Hospital and in the Big Data
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cell and molecular biology studies using mice and primary cells. Documents results of experiments and reports to principal investigator. Conducts literature searches and summarize information for ongoing
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Juhl Jensen on molecular networks and Prof Yonglun Luo on data generation. This position, whether it is carried out by a PhD-student or a postdoc addresses these challenges in the context of constructing
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, instrumentation and data acquisition on full tanks and assessment of solutions for Structural Health Monitoring. The research will be done in close collaboration with the involved industrial partners.The PhD
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changes, moving beyond conventional simulations of stationary atmospheric conditions.This PhD project is part of the ERC Consolidator Grant project WINDFLOW, which strives to develop groundbreaking large
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following fields: Large random matrices Machine Learning Job Requirements: PhD degree in statistics or related areas. Experience in random matrices or machine learning Strong written and verbal communication
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of Zurich) and Dr. Michael Siegenthaler (KOF). Using large-scale linked register and survey data and self-collected data on collective bargaining agreements in Switzerland, the primary research goals
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optimization, or privacy/security research in data sharing would be a plus; Experienced in using the latest machine learning, AI, and big data platforms; Excellent interpersonal communication and oral