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Field
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foundations and applications of large language models (LLMs) or the development of novel AI algorithms utilizing the latest technologies for applications in science and technology. The successful candidate will
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relationships through active participation in professional societies. Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever
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of experience in AI/ML/DL or equivalent combination of education and experience. Demonstrated experience in algorithm development and structured programming ability. Experience in scientific programming and the
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Cornell faculty members and the project’s co-principal investigators (from multiple organizations) to oversee a cross-organizational research team consisting of a group of postdoctoral associates, PhD
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their research, and several of the university’s research institutes are located across multiple campuses. The Academic Plan envisions that all members of the Northeastern community will have a “passport” to the
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, you will: Lead the development and execution of multiple AI/ML projects related to multi-scale, multi-cellular immune system modeling. Develop, execute, and implement AI/ML infrastructure to simulate
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responsibilities. · Continue and build research and development programs into AI algorithms and technologies in mechanical ventilation (both own programs and participating in ongoing programs in the Division
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Head and Neck cancer patients. This person will be working with our multi-disciplinary cancer specialty clinics and tumor boards. This individual will be expected to develop algorithms around national
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Research Director, working closely with Cornell faculty members and the project’s co-principal investigators (from multiple organizations) to oversee a cross-organizational research team consisting of a
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algorithms and complexity theory, including in both well-established settings (e.g., sequential computation on a single machine and distributed/parallel computation on multiple machines) as well as emerging