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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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, 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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of the organization Excellent written and verbal communication skills, including the ability to present complex information to non-technical audiences Demonstrated experience working with large datasets and financial
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have access to a large number of data sets across many data modalities as well as large user audiences and collaborators who are leading experts in their biomedical domains. We are also working with many
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technologies into commercial products that solve big problems. We support research that universities, companies, and venture capital firms don’t fund because they view it as too risky. We prefer to use the word
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information about benefits, harms, and uncertainty is communicated to clinicians, patients, and payers. We welcome applications from recent PhD graduates and postdoctoral fellows who are interested in
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(HKS) is seeking a Senior Software Engineer with specialized expertise in software development, generative AI, and data science. This position is housed within the Shorenstein Center on Media, Politics
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field data, experimental data, and field experiments. Salary is $70,500 annually, plus benefits. Expected start date is mid-June 2027. For examples of our research, see our faculty pages: https
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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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visualization 2D and 3D bioimaging data visualization Data analysis and data management infrastructure for biomedical data visualization Our Resources The HIDIVE Lab participates in large-scale collaborative