107 distributed-algorithm-"Meta"-"Meta" uni jobs at The University of Chicago in United States
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programs with Unix / Linux commands. We also need someone who knows how to interface U2 with Visual Basic .NET Programming for new and existing applications. We distribute books for 130+ presses. Ideally
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reimbursements. Reporting to the Academic Affairs Manager, the Lead Faculty Assistant also assists with distributing work across the Faculty Services team. This position will work on-site at least 4 days per week
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. Optimizes the performance and scalability of AI/ML workloads through algorithmic and system-level improvements, including evaluation and tuning of CPU vs. GPU usage for cost-effectiveness. Monitors and
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). Contribute to image processing and algorithm development to support the identification of novel biomarkers and disease phenotypes. Write clean, efficient code primarily in Python and work with Bash/Slurm
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learning algorithms for a variety of predictive analytics research projects. Coordinates data collection, econometric analysis and provides quality assurance for research projects. Contributes to research
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responsibilities will span all stages of research, including collecting data in both tabular and spatial formats, developing algorithms that clean and organize data, conducting statistical analyses, running
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assesses public engagement. Maintains event visibility by distributing listings to internal/external outlets, updating university calendars, and overseeing the Program’s website and social media channels
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visionary leadership for the development, review, distribution, and alignment of high-impact donor-facing materials. The Senior Director is responsible for developing and driving strategies for gift proposals
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responsible for teaching six courses over the academic year in introductory programming, algorithms, machine learning, or systems depending on the candidates’ qualifications and programmatic need. In
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, Databases, etc.), Machine Learning, Theoretical Computer Science (Discrete Mathematics, Algorithms, etc.). Experience with EdTech tools, such as Ed Discussion, Gradescope, GitHub Classroom, Canvas, etc