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accelerators; developing processor enhancements to increase throughput, reliability and/or power efficiency for selected and implemented algorithms; proposing and supporting processor enhancements
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innovative ideas to enhance existing algorithms and frameworks. Analyse and interpret findings, ensuring scientific rigour and practical relevance. Prepare and submit manuscripts to leading conferences and
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) software for topology-informed biomedical image analysis and large foundation models. You will be responsible for Develop new machine learning algorithms for microscopy image analysis problems (2D/3D/4D/5D
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of a quantum information system from the underlying physics to hardware design, applications, and algorithms (https://quantum.duke.edu/ ). The working environment is interdisciplinary and collaborative
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tools developers in the laboratory in implementing algorithms and software packages. Download data from repositories (GEO) for public data integration, interrogation, and hypothesis generation. Minimum
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specifically addresses the identified challenge by leveraging ML to overcome barriers associated with platform heterogeneity, including differences in resolution, scale, and feature representation. By developing
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of algorithmic design and analysis techniques with potential impact on long-standing open problems in online algorithms, and the development of universal techniques for designing learning-augmented algorithms
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will apply state-of-the-art machine learning algorithms and custom disease-relevant genomic datasets (e.g., coronary artery single-nucleus chromatin accessibility and RNA sequencing) to develop targeted
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working in the exciting and dynamic fields of deep learning and medical imaging. The main focus will be to develop novel deep learning algorithms to analyze medical imaging data (e.g., ophthalmology
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include but are not limited to: network architecture design for NTN and terrestrial network (TN) convergence, intelligent traffic steering algorithms between TN and NTN, orchestration of TN/NTN resources