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, including data from ELISA, PNA, ELISPOT, flow cytometry, B and T cell receptor sequencing, and transcriptomics. You will develop a reproducible informatics and machine learning pipeline to process large
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machine learning algorithms for system optimization and predictive maintenance, and developing AI models to simulate environmental and social impacts of large-scale deployment (100+ toilet systems
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workstreams, and the PhD’s will be working along senior staff to perform tasks in different workstreams, in strong collaboration with multiple international partners and fellow PhDs from all over the world. Key
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intelligence, machine learning, and more. Learn more about our program at https://datascience.uchicago.edu/education/masters-programs/ms-in-applied-data-science Job Summary Reporting to the Director of Academic
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that address real-world challenges and deliver positive business outcomes. The Institute for Insight is equipped with a computer cluster that includes multiple GPUs, designed for big data analytics for both
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areas such as astrophysics, data science, machine learning and high-performance computing scientific leadership and project management of a research group (at least 5 research associates), including
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projects and technical leadership. Basic Qualifications: Master's degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related technical field. Proven experience in
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technologies, grid computing and physics data analysis, machine learning, and interactive and collaborative systems. The prospective PhD candidate will work in close cooperation with our current PhD students
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and teach upper-division courses focused on international political systems and issues for the online Bachelor of Arts in Social Sciences (BASS) program. Topics may include globalization, climate change
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the public at large. Any other assigned duties Requirements: Candidates should be passionate about teaching and learning, hold a PhD or at least a Master's degree in related disciplines, and have