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Field
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supporting the professional development of team members at various stages of career advancement. St. Jude offers world-class high-resolution multimodal imaging and structural cell biology infrastructure
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, the researcher will calibrate and validate the model using real operational data from the E-lympic "living lab" and translate the results into recommendations for converting urban gas stations into multimodal hubs
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• Conducting human–robot interaction and public perception studies • Publishing peer-reviewed research and preparing project reports • Collaborating with interdisciplinary researchers • Mentoring undergraduate
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of world-renowned researchers and educators have access to a state-of-the art core facilities and expertise, including for high-throughput screening, multimodality in vivo imaging, proteomics, integrative
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include monitoring, modeling, and controlling the operations of multimodal transportation systems, new vehicle technologies, urban mobility, research at the intersection of traditional traffic flow theory
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robot capabilities, dynamic constraints, contact-rich interactions, perception limitations, and high-level human guidance. A key objective is to bridge high-level task planning with the physical
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, with a focus on building multimodal AI models to predict dental caries progression. The successful candidate will work on developing deep learning and computer vision models using longitudinal dental
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data and multimodal datasets combining imaging and molecular measurements. Have a background in computational biology, bioinformatics, or machine learning for biological problems. Have experience with
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collaborators. Requirements: Applicants should have a PhD in Computer Engineering, Computer Science, or a related field. Extensive and sound knowledge of ML, AI, DNN, LLMs/VLMs, Multimodal LLMs, RAG, Agentic
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a demonstrated interest in cell biology and biological modelling. Have experience interpreting biological datasets, particularly imaging data and multimodal datasets combining imaging and molecular