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Field
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compounds play a crucial role in the selection and sensory perception of food. Achieving a deeper understanding of their chemistry and bioactivity on a molecular level will support the development
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(MIRMI) is a globally visible, interdisciplinary research center dedicated to machine intelligence—the integration of robotics, artificial intelligence, and perception. MIRMI’s research addresses key
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perceptions of their future profession, and how they evaluate apprentices’ attempts to engage with these practices and perceptions. Particular attention will be paid to the role of nonhuman actors, such as
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Job Purpose To make a contribution to an ERC-funded project Dynamic network reconstruction of human perceptual and reward learning via multimodal data fusion, working with Prof. Marios Philiastides
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deep learning models with state-of-the-art algorithms based on histology whole slide images. They may also contribute to research of integration of multimodality data with clinical, radiological images
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multimodality deep learning model development in different sarcomas. Publications in related fields will be a strong advantage. Opportunities for publication and independent development will be available
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and communication across multiple modalities, such as text, pictures, audio, and video? Join the large scale HAICu project to help unlock the potential of cultural digital archives through multimodal
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-quality requirements, and analysis-ready data structures. Develop machine learning models that integrate multimodal experimental and simulation data. Contribute to the development of Crucible Data Platform
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reconstruction Develop methods for behavior understanding from multi-view video and audio recordings Advance multimodal large language models for fine-grained action understanding and reasoning Help shape the next
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learning models (e.g., multimodal AI, large language/world models) with specific finetuning for ELEVATE; designing geographically context-sensitive urban design recommendations that promote active mobility