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foundational course is designed for first-year students across all engineering disciplines and focuses on cultivating problem-solving abilities, algorithmic thinking, and technical communication skills in a
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materials, implementing algorithms, creating software, and investigating new approaches and technologies. Assists with conducting research, including setting up, calibrating, maintaining research records
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algorithmic bias, surveillance, digital equity, and the sociopolitical impacts of emerging technologies on Black communities. The candidate will support and expand curriculum and engage in research that offers
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(Required) Experience creating and utilizing statistical algorithms and conducting power calculations to determine sample size to answer complex research questions. (Required) Demonstrated experience working
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systems. Software developed for science can change in unpredictable ways, with algorithms invented and reinvented, and SSCC is flexible and able to adapt to changing needs. SSCC’s software and computing
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pipeline into production, working with a team of scientists to develop, implement, and deploy cutting edge algorithms and approaches to astronomical difference image analysis, image resampling and
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). Deep understanding of statistical modeling techniques and machine learning algorithms. Strong verbal and written communication skills, with the ability to convey complex concepts in clear, accessible
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to Programming Algorithms and Data Structures System Analysis and Design Theoretical Computer Science Advance Algorithms Operating Systems Emerging Paradigms in Programming Fundamentals of Software Engineering
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, including, but not limited to, the following areas: Entertainment media Artificial Intelligence (AI)-related technologies, such as social robots, generative AI, recommendation systems, and algorithms Social
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group to work on a project developing provable network security methods that use higher-order graph-based abstractions to model networks and network security problems. Scalable algorithms developed