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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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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
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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
leader in HIV clinical care, research and education and has grown to encompass a network of specialty clinics, multiple research and clinical trials, an infectious diseases/HIV education program, an
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learning, and AI. Develop novel tools, algorithms, or pipelines that enable the measurement of psychological phenomena from social and linguistic data. Data Analysis and Modeling: Lead analyses using large
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and conduct empirical studies integrating computational and psychological approaches, drawing on methods from text analysis, machine learning, and AI. Develop novel tools, algorithms, or pipelines
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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
CI technologies, hardware and software projects. Works on algorithm development, optimization, programming, performance analysis and / or benchmarking assignments of moderate scope where the tasks
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understand the etiology and pathology of systemic diseases, Digital Twin Innovation Hub is developing technology capable of integrating multiple mathematical approaches to fully represent and predict
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) delivers capabilities to government customers for multiple applications, from on-site real-time data-intensive underwater acoustic signal processing to standalone remote field systems. ESL is seeking a