174 knowledge-representation Postdoctoral positions in Ireland-University-Ranking-2024 in Netherlands
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of late czarist and early soviet Russia? Would you like to engage in historical research on political speech and representation in a (post) imperial context? In this post-doctoral position you will work in
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microbiome and genome data to learn contextual representations of microbes and communities and translate them into predictive models for successful crop microbiome engineering. Your job Plant-associated
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data to learn contextual representations of microbes and communities and translate them into predictive models for successful crop microbiome engineering. Your job Plant-associated microbiomes can
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to their imperfect representation of ocean and sea ice interactions at sub-grid scales. This project aims to improve our physical understanding of these fine-scale processes, including the melting and breakage of sea
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associated with substantial losses of sea ice over both hemispheres. Existing climate models are currently unable to accurately forecast these changes, in part due to their imperfect representation of ocean
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interactions across multiple spatial and temporal scales. Developing mathematical representations that faithfully preserve this structure is one of the central challenges in modern scientific computing
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different forms of representation. Postdoctoral Researcher in Science Education Our goal: To better understand how students interpret, evaluate, and represent scientific evidence, and to improve instructional
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they compare evidence, calibrate uncertainty, justify claims, and move between different forms of representation. Postdoctoral Researcher in Science Education Our goal: To better understand how students
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understanding and representation learning; Self-supervised and data-efficient learning; Transfer learning and knowledge reuse across tasks; Structured and compositional learning; Vision-language and multimodal
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to: Adaptation and specialisation of visual foundation models; Fine-grained visual understanding and representation learning; Self-supervised and data-efficient learning; Transfer learning and knowledge reuse