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sensor data) mentioned. * Experience with multi-omics data analysis (e.g., genomics, transcriptomics, proteomics). * Familiarity with neuroimaging data analysis tools (e.g., FSL, SPM, or FreeSurfer
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. clinical data, imaging data, genomic and omics data, device and sensor data) mentioned. ● Experience with multi-omics data analysis (e.g., genomics, transcriptomics, proteomics). ● Familiarity with
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of digital technologies for individuals with mental illness. These technologies may include algorithms, wearable sensors, and apps for digital phenotyping, ecologically valid assessment (e.g., cognition
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in histology and molecular biology techniques. Experience with IACUC and institutional protocols. Experience with transcriptomic bioinformatics analysis (Seurat, Scenic algorithms on 10x Genomics
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programming (e.g., Python, MATLAB). Preferred Qualifications: Experience in resilience analysis for multi-agent systems. Familiarity with communication-constrained algorithm design. Prior work on communication
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., Python, MATLAB). Preferred Qualifications: Experience in resilience analysis for multi-agent systems. Familiarity with communication-constrained algorithm design. Prior work on communication-efficient and
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programming (e.g., Python, MATLAB). Preferred Qualifications: Experience in resilience analysis for multi-agent systems. Familiarity with communication-constrained algorithm design. Prior work on communication
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, construction and commissioning of the MOLLER detector at Jefferson Lab * Development of the SOLID software framework, tracking algorithms, DAQ subsystem and various detector R&D projects. * Participation in
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and financial planning tools; this includes modeling new algorithms, creating functional specifications, and testing and/or validating new financial planning tools. Collaborate with other members
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reduction) to extract meaningful insights from multi-modal data. ● Develop and implement algorithms to process, clean, and transform large datasets to support research objectives. ● Conduct