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occupy on the social and economic ladder. More specifically, we use the quickly increasing availability of large-scale genotype data across Europe, along with detailed register and survey data from several
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and their natural enemies. This research will leverage advanced 'omics' technologies and 'big data' analytics to unravel complex pest-natural enemy interactions, understand host associations, and
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well as large-scale GPU computing facilities for deep learning. Our Lab aims to hire a Research Fellow to lead a research project on Real-World Deepfake Detection and Image Forgery Localization. The role will
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experience and expertise in web-scale data curation, development of large language models (LLMs), and in-depth LLM evaluation. LTG has a strong commitment to open-source resource and software development
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of large-scale, nationally representative education surveys using Qualtrics, ensuring methodological rigour and high-quality data collection. Initiate, design and conduct quantitative research using advanced
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questions. Work with asset owners will also concentrate on determining the value of the data. Role Summary Design and conduct large-scale laboratory and field trials using both classical as well as quantum
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and developing multi-agent systems for large language models (LLMs). Investigating the security challenges and information propagation theories in multi-agent system. Writing high-quality research
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factors for Alzheimer’s disease and related dementias by integrating large-scale human genetic data with phenotypic, environmental, lifestyle, and registry-based information. The postdoctoral fellow will
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and wastewater streams. You will design and run experiments, analyse and interpret research data, and contribute to the development of an intensified ion exchange process integrated with regenerant
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, analyse and interpret research data, and contribute to the development of an intensified ion exchange process integrated with regenerant recovery. The work will help advance a novel treatment approach that