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practices Contribute as a co-author to interdisciplinary peer-reviewed manuscripts, with primary responsibility, as appropriate, for computational, algorithmic, and data-methodology sections Contribute
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. They are key players in several cross-disciplinary institutes, centers, and programs at Georgia Tech, including PhD programs in Algorithms, Combinatorics, and Optimization (ACO), Computational Science and
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to candidates with teaching or research interests in: Algorithms Science of Programming Computer Vision Machine Learning Qualifications Applicants must have: A Ph.D. in Computer Science, Data Science, Artificial
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neuroimaging methods to better detect disrupted function following neonatal brain injury, and identify new more energy efficient learning algorithms that could reduce the economic and environmental cost of AI
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neuroimaging methods to better detect disrupted function following neonatal brain injury, and identify new more energy efficient learning algorithms that could reduce the economic and environmental cost of AI
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frameworks, bioinformatics, data analysis, data science, discrete and machine learning algorithms, distributed, intelligent, and interactive systems, networks, security, and software and database systems
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ARIA project Enforcing Safety in Cyber-Physical Systems via Proof Certificates, and focus on the design, development, and application of Safe RL algorithms as well as their verification via Proof
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(AI) and machine learning (ML) methodologies. The position involves annotating clinical data, collaborating with AI/ML/NLP teams, developing algorithms, and generating insights to improve patient care
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innovative research in quantum information science, broadly defined. Areas of interest include, but are not limited to, quantum computation and simulation, quantum algorithms, quantum error correction, quantum
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other real-world data. Develop and apply statistical models, machine-learning algorithms, natural language processing, predictive models, and other computational methods to address biomedical and clinical