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Field
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— the community pioneers emerging fields, develops the algorithms that power the information age, and is committed to creatively and thoughtfully exploring technology’s potential to advance our world. Cornell
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encourage candidates with a strong background and experience in theoretical, algorithmic, or applied research in biomedical informatics. Candidates should demonstrate a strong scholarly record of research
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implications for equity and access to justice. This position will support the development of a curriculum that critically examines law, technology, and inequality, including issues such as algorithmic bias
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) and genetics data which are measured by longitudinally and cross-sectionally. • Developing and applying machine learning and AI approaches to identify interactive topological relationships
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experimental molecular biology and data analysis. Doctoral candidates can specialize in genomic and molecular biology techniques, as well as in algorithms, statistics, and artificial intelligence for molecular
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. To probe such regimes requires the development of fast and scalable algorithms for many-component systems, and of coarse-grained models that can be analyzed and simulated. Strong applicants with backgrounds
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or accelerated acquisition and reconstruction algorithms will be highly valued. Instructions Interested candidates should apply via Interfolio link with their CV (including a full list of publications), a
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predictive analytics Human factors, behavior science, and patient-centered design Advanced computing and scalable algorithms Decision science and learning health systems design Qualifications Required: Ph.D
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and algorithms, (ii) artificial intelligence, machine learning, information retrieval, and data mining, (iii) security, cryptography, and privacy, and (iv) systems, networking, and architecture, with
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systems, multi-function radar, AI/ML algorithms rely on high performance digital signal processing and real-time computing to provide high-fidelity results in an actionable timeframe. The ARRC intends