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minimize coupling of environmental disturbances into detector systems. Develop techniques and algorithms to characterize and remove noise sources. Study noise couplings, high-power operations, and thermal
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element tools the lab has developed. The position has the opportunity to develop new tools to enhance the lab’s capabilities in annotating transposable elements (TEs) and repetitive sequences. The Ou Lab is
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inference. The role will bridge rigorous theoretical work with hands-on algorithm design and development on real-world datasets. The core responsibility is to build and validate federated causal inference
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optimise deep learning–based models for the quality control and real-time assessment of concrete constituents within in-line production. Develop and train predictive algorithms based on hyperspectral imaging
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metabolomics. Our studies focus on developing new mass spectral data analysis algorithms (e.g., clustering) to better solve the common key persistent problems arising from factors such as mass shift and peak
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the frontier of human-AI collaboration. Rooted in the conviction that algorithms and AI should enhance — not replace — human capability, The Bike Shop develops computing tools that serve as true “bicycles
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, transcriptomic, and proteomic datasets using open‑source bioinformatics software. The successful candidate will apply bioinformatics algorithms and statistical methods to interpret, analyze, and visualize large
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cyberinfrastructure (CI) to design, build, and optimize high impact computational tools, algorithms, and analytical workflows that power innovative research in medicine. You’ll manage and analyze large datasets and
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This project focuses on developing algorithms capable of automatically identifying and categorizing mobile ringtones. This involves leveraging machine learning techniques to analyze audio signals
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) to enhance the stability and agility of COTS drones under dynamic conditions. Swarm Intelligence: Develop and test decentralized swarm algorithms for coordinated area search, target tracking, and collaborative