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to closely collaborate with CS faculty members Sriram Pemmaraju and Sourya Roy on sampling problems in the distributed and parallel computing setting. The ideal candidate will have research experience
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, algorithm design, data analysis, interpretation of physiologic signals, manuscript preparation, and grant or fellowship applications. This position is ideal for a candidate interested in applying
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independent and collaborative research at the intersection of AI systems, distributed and high-performance computing, edge-to-cloud platforms, and domain-driven applications such as digital agriculture
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Mathjobs.org | 25 days ago
background in numerical analysis, scientific computing, or a related area. 3) Demonstrate the ability to conduct original, high-quality research in computational methods, algorithm and software
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background in numerical analysis, scientific computing, or a related area. 3) Demonstrate the ability to conduct original, high-quality research in computational methods, algorithm and software
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position will contribute to the Forge project, which is focused on developing advanced multimodal AI capabilities that can learn across distributed data environments without requiring sensitive data to
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design, prototyping, algorithm development and testing, manuscript preparation, mentoring, and lab management. The selected candidate may engage in other activities such as grant proposal development
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learning, applied mathematics, computer science, or a related field; Expertise in computational methods, data analysis, software and algorithm development, modeling, machine learning, high-performance
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across different genomic regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and
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Associate (PDRA). The appointed candidates will support advanced research initiatives focusing on systems design, distributed systems, and algorithmic optimization. Key duties involve driving foundational