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programming skills. Documented experience in big data analysis. Documented experience in high-throughput sequencing data analysis. Language requirement: Good written and oral English proficiency. English
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of innovative statistical methods for analysing large-scale genomic and single-cell omics datasets, identifying causal genetic variation, and improving phenotype prediction and gene prioritisation across
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), if applicable. A Research Statement (1-2 pages) highlighting your AI background and vision for human-agentic teaming in complex physical systems. Contact information for three professional references. Who We
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the intellectual and creative life of the department and Cornell at large. We are interested in recruiting candidates who demonstrate commitment to the highest standards of scholarship, teaching, and professional
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industrial background. The key is having good hands-on experience in sustainable design and implementation, or the enthusiasm to pick up new skills. The postholder will have the full support of a large inter
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The department of Biology is a large, unified department with strong undergraduate degrees, nationally-ranked graduate programs, and world-class research spanning the breadth of biological questions and
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specified research grants and projects and contribute to writing bids Operate within area of specialism Analyse and interpret research findings and results Contribute to generating funding Capturing data from
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, and interpretation of large DAS and seismic datasets. Integrate distributed sensing observations with complementary geophysical and environmental data to improve urban subsurface imaging and monitoring
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integrates clinical, molecular, and real-world data with emerging computational approaches, including large language models, predictive modelling, and multi-omics data integration. The lab coordinates and
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Medical Computer Vision Experience with Large Language Models and Generative AI Experience working with real-world EHR and imaging data Experience working with PACS and the DICOM standard Preferred