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will have the opportunity to develop innovative algorithms and models that integrate multiple data modalities, collaborate with industry partners, and contribute to high-impact publications. Job
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, especially the toroidal spectrometer, construction and commissioning of the MOLLER detector at Jefferson Lab ● Development of the SOLID software framework, tracking algorithms, DAQ subsystem and various
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learning algorithms into professional software with an intuitive user interface, incorporating feedback from CHWs through iterative design and evaluation cycles. The selected candidate will be part of a
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algorithms for solving the targeted problem or hypothesis Conduct literature review for future projects. Assist with future funded projects as needed. Participate in manuscript development and publication
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algorithms for solving the targeted problem or hypothesis Conduct literature review for future projects. Assist with future funded projects as needed. Participate in manuscript development and publication
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algorithms and models to multimodal data (unstructured and structured text, knowledge graph, etc) Design and conduct experiments to test hypotheses with applied statistics Analyze and interpret results
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. His expertise includes: Developing novel deep learning and machine learning algorithms for biomedical and health applications. Applying responsible AI principles to ensure privacy-aware and
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linear mixed models, and biological network analysis. This may require development of new computer algorithms and/or construction of computational workflows on computer clusters. The types of multi-omics