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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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through cutting-edge research. The Nath Laboratory is seeking highly motivated applicants for a postdoctoral position in computational oncology and data science. Our research program aims to advance
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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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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
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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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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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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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to study how dysprosium’s large magnetic interactions can be utilised in future magnetic field sensors and to investigate precursors for novel quantum phases of matter. The project is supported by Quantum
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maritime networks from the sixteenth to the nineteenth centuries. It will bring together large quantities of previously fragmented archival evidence from across Europe to reconstruct patterns of maritime
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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