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Field
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-scale data sets, especially using performant algorithms. Develop machine learning approaches, computer vision tools to help pre-process dataset and annotations to generate groundtruth benchmarks
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artificial intelligence (AI) initiatives by developing and training AI tools aimed at automating and optimizing clinical workflows, operational efficiencies, and administrative tasks. As part of our dynamic
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science topics, including practical software development skills. Expertise in teaching mathematical subjects related to computer science such as discrete structures, analysis of algorithms, artificial intelligence
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conditions, identification of vulnerabilities, and development of resilience enhancement strategies. Contribute to the design, development, and implementation of new models, methods, and algorithms
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and Spring semester. We embrace our identity as a community college, as reflected in our mission statement. We promote student success and community development by providing affordable access, through
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and evaluation. The post holder will take a leading role in advancing theoretical and algorithmic research in the domain of probabilistic preference aggregation, contribute to the design and analysis
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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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development, human-computer interaction, data analytics, user experience design, remote monitoring systems, energy optimization algorithms, and environmental impact modeling. Human-centric AI-driven sanitation
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/ Digital forensics; Algorithms. Supervise final year projects and capstone projects, provide mentorship and academic guidance to students; Collaborate with colleagues to develop or enhance the curriculum
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algorithms. Graph Neural Networks. The candidate is expected to hold a relevant MSc degree in Computer Science, Data Science, Physics, (Applied) Mathematics, Computational Statistics or another field