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Assistant/Associate/Full Professor, Quantum Computing Theory and Algorithms Yale University: School of Engineering and Applied Science: Computer Science Location New Haven, CT Open Date Oct 13, 2026
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in neurons and in vivo . Our group makes use of metabolic biosensors and behavior in C. elegans to uncover how neuronal energy states are distributed across cells and tissues, and how this
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, biostatistics, data science, and related fields. Experience with human genomic data analysis. Professional programming skills, experience with high-performance computing, and cloud computing
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RF and mixed-signal systems. This role offers the chance to work at the intersection of RF integrated circuits, analog computing, and intelligent sensing systems, an area that is becoming increasingly
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a related discipline. Strong programming skills in Python, R, or similar languages. Experience working with large biological datasets. Familiarity with Linux-based computing environments and high
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contribute to analyses and processing of data. They will become familiar with high performance computing environments and parallel processing, as well as cloud computing infrastructure. They will
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algorithms, pangenome graphs, or population genetics Deep learning for sequence, EHR, or imaging data High-performance and GPU computing environments Excellent candidates from adjacent quantitative
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Technology Studies. Preferred focus areas: critical computing/artificial intelligence studies; labor and automation technologies; medicine/alternative medicine; chronic illness and/or disability studies
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algorithms and running these models on high performance GPU computing clusters. The training will also provide knowledge about the recent advances in large language models. Mentoring: The
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understanding of machine learning algorithms in scientific computing, with emphasis on cryo-EM applications * AI for computational mathematics: Developing tools and methodology for using AI assistants in