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(GenIR), a new and rapidly evolving retrieval paradigm where generative models are used to directly generate document identifiers given a user query. This paradigm departs from traditional multi-stage
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: tracking baleen whales and shipping activity, assessing impacts on marine ecosystems, and exploring geoacoustic inversion techniques. Seafloor structure imaging: ambient noise tomography to generate high
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, disease modelling, behaviour, chemogenetics and in vivo neural imaging technologies. The Headache Group is part of the WSPaRC, with broad expertise in sensory biology (pain, vision & hearing) and
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generate document identifiers given a user query. This paradigm departs from traditional multi-stage retrieval pipelines and instead integrates the indexing and retrieval process into a single, end-to-end
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Position Overview School / Campus / College: School of Medicine Organization: Radiology Title: Postdoctoral Scholar, Department of Radiology, Diagnostic Imaging Sciences Center (DISC) Position
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systemic infectious processes, immune responses, and evaluating therapies, refinement measures to reduce stress and improve welfare in experimental animals are underexplored. In this 3RTG, we will address
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. Collaborate on multidisciplinary projects involving high-throughput phenotyping platforms. Apply machine learning and deep learning techniques to improve image processing and trait prediction. Analyze large
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. Your mission Understanding disease requires weaving together many layers of biological and clinical information. By fusing multimodal data including genomics, imaging, spatial omics, and patient records
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/Qualifications 1) a PhD in chemistry, obtained before the start date of employment, 2) significant scientific achievements (documented by publications from the JCR list), 3) experience in the design and
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approaches, including molecular genetics, live cell imaging, biochemistry, genomics, and structural biology, to address fundamental questions in epigenetics. Further information about our research can be found