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, multimodal, and agentic AI, as well as foundation models, with a focus on geometric deep learning, large-scale knowledge graphs, and large language models. Fellows will also have the opportunity to apply
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computational pipelines for multiplex imaging, spatial transcriptomics, single cell RNAseq, and multi-omics data integration. Lead graph-based network and machine learning analyses of tumor immune
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: Expertise in machine learning, deep learning, natural language processing and other AI methods in health and life sciences datasets Expertise in advanced computational methods such as network analysis, graph
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, spatial transcriptomics, single cell RNAseq, and multi-omics data integration. Lead graph-based network and machine learning analyses of tumor immune microenvironment architecture. Collaborate with wet lab
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language processing and other AI methods in health and life sciences datasets Expertise in advanced computational methods such as network analysis, graph databases and structured and unstructured data mining tools
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text leveraging fine-tuned Vision-Language Models (VLMs) from WP3, supporting zero-shot reasoning and scene-graph inference. Ensure the system is deployment-ready by supporting benchmarking of inference
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Research Associate, Translational Research Fellow - Dept. Ophthalmology Visual & Anatomical Sciences
. Evaluate and perform data analysis using graphs, charts or tables to highlight the key points of the research results collected in accordance with the research protocols as stipulated. Proofread and edit
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Postdoctoral Fellow with Professor Morgane Austern. Professor Austern’s group focuses on research in high-dimensional statistics, probability theory, machine learning theory, graph data, Stein method, ergodic
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graphing and/or data analysis software (Prism, Origin Pro, Matlab etc) Success in research funding and/or experience in grant development and writing. A good understanding of appropriate statistical analysis
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graphing and/or data analysis software (Prism, Origin Pro, Matlab etc) Success in research funding and/or experience in grant development and writing. A good understanding of appropriate statistical analysis