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, uncertainty estimation or trustworthy AI Experience with foundation models, self-supervised learning or large-scale pretraining Experience with external validation on multi-centre imaging data Experience with
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environment. The successful candidate will develop and apply advanced machine learning techniques—including multimodal AI, computer vision, and large language models—to complex scientific and engineering
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We are seeking a Senior Researcher to join the Ideker Laboratory at the Big Data Institute (BDI) and the Nuffield Department of Population Health at the University of Oxford. The successful
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, linear mixed modelling, time series analysis, causal inference). Experience working with large, multimodal and/or open access data sets Interpersonal and communication skills toeffectively collaborate and
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School of Public Health invites applications for two post-doctoral fellow positions to participate in funded HIV and relevant research. These projects involve the utilization of multiple types of Big Data
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as a one‐year appointment, but renewable annually based on performance. The position involves postdoctoral work in developing efficient methods and tools for analyzing large-scale biomedical data with
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development of transferable learned representations from large-scale public omics data and metadata, and the software infrastructure needed to build, maintain, and distribute them at community scale, including
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. Quantifiable information about polynya dynamics can be obtained from satellite imagery revealing long, regularly-spaced 'windrows' of nascent ice crystals generated by a subsurface flow known as Langmuir
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in data integration, model design, and large-scale training by combining multi-modal scientific data, knowledge graphs, physics-aware machine learning, and GPU/HPC computing to develop transparent and
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the transition. What you will do The postdoc will participate in the interdisciplinary research programme GroenvermogenNL, which supports the large-scale development and implementation of green hydrogen in