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engineering or related fields. Candidates should have a strong research record in LLM-based agents, reinforcement learning, or large language models, preferably in areas closely aligned with the topics outlined
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Sequencing (NGS), GWAS chip data, Single Cell Transcriptomics (scRNA-seq, single cell ATAC-seq and spatial transcriptomics and other high throughput omics data in the study of neurodegeneration. The candidate
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center aligned with a nationally ranked academic medical center and a freestanding cancer hospital on the campus of one of the nation’s largest public universities. is the only cancer program in
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to multiple audiences: academic peers, policymakers, community groups, or corporate stakeholders. Must possess strong interpersonal skills to co-create knowledge and initiatives across disciplines and roles
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-processing for multiple projects. Candidate will disseminate results at conferences and in archival publications and help in the development of new ideas and proposals for funding. Minimum Education Required
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/ Statistical Genetics or closely related program. Required Qualifications Ph.D. degree in bioinformatics, statistical genetics, biostatistics, or a closely aligned quantitative area. Candidate is expected
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imaging data—primarily intraoral radiographs—integrated with clinical and behavioral data collected from multiple collaborating institutions. The overarching goal of this research is to enable early and
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Familiar with qualitative and quantitative research methods in HCI Experience in human-centered design, and usability testing Experience in publishing multiple first-author research articles in peer-reviewed