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Field
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the supervision of the PI, including proposal development and preparation of high-quality publications in top computer security, privacy, embedded systems, sensing, and networking venues. Pursue research topics
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participate in cross-disciplinary research and development projects related to learning engineering and AI in education, working with a team of postdoctoral researchers, PhD students, and Master’s/undergraduate
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analysis of effective tutoring moves that promote student motivation, engagement, and learning Development and evaluation of approaches to AI tutoring agents that build on high-quality data (e.g., training
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to promote skill development and consistency in data handling. Expected Salary: $62,232 - $75,564 annually Required Qualifications: PhD in Bioinformatics, Computational Biology, Biomedical Engineering, Data
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: Department of Biomedical Engineering Posting Link: https://www.ubjobs.buffalo.edu/postings/60764 Job Type: Full-Time Posting Detail Information Position Summary We are seeking a highly motivated researcher to
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, 2025, 11:59 p.m. EST. Interested applicants must apply online at https://www.princeton.edu/acad-positions/position/40821 and submit a CV, cover letter, writing sample, transcript and the names and
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their impact on gene expression. Contribute to large-scale modeling of engineered traits to predict performance and optimize design. Required Qualifications: PhD in the field of genomics, evolution, population
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 1 month ago
hearing loss. We leverage multi-omics patient data and develop patient-derived 3D tumoroid models to accelerate the development of an effective and safe gene therapy for the patients. The lab is currently
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, this research will contribute importantly to the discovery of novel risk genes, steer basic research and drug development, and advance personalized medicine. The successful candidate will develop expertise in
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unique opportunity to engage in transformational research that advances the development of AI-ready scientific data, optimized workflows, and distributed intelligence across the computing continuum. In