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Field
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research projects involving large administrative claims, EHR, survey, or clinical trial data. Collaborate with external collaborators in implementing machine learning algorithms. Perform other duties as
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organic chemistry. Prior success in securing extramural funding, especially those that may be transferable to this position. Demonstrate expertise in mathematical algorithms, high-performance computing, AI
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to Computer Science, Data Structures, Software Engineering, Computer Organization, Algorithm Design, and Computing Ethics in Society. There may also be opportunities to teach courses beyond the core curriculum. We
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of Chicago Booth School of Business, the Kenneth C. Griffin Department of Economics, the Harris School of Public Policy, and the Law School. The Predoctoral Research in Economics Program (PREP) is intended
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, academic-year position at the rank of Assistant Professor starting in Academic Year 2026-2027, with preference given to candidates specializing in Cloud/Cluster/Distributed Computing, Algorithms and Theory
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metrics for large-scale, unbalanced distribution networks. Designing and implementing advanced dynamic state estimation algorithms (EKF, UKF, MHE, WLS-based methods) for measurement-constrained distribution
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, quantum computing algorithms/architectures, applications of quantum computing; or 2. Quantum photonic integrated circuits. Candidates must hold a Ph.D. in Electrical Engineering, Computer Science, Physics
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); Computer science foundations (Software Engineering, Algorithms); data science and data analysis (Data Science in the Wild, Causal Inference), or urban computing and design. Candidates for the position should hold a
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Learning, Theoretical Computer Science (Discrete Mathematics, Algorithms, etc.). Experience with EdTech tools, such as Ed Discussion, Gradescope, GitHub Classroom, Canvas, etc. Ability to respond on short
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Description Primary Duties & Responsibilities: Implements: Algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical]; Data management