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. Additional experience with bioinformatics, quantitative image analysis, or analysis of large-scale omics datasets would be advantageous. Candidate Profile The successful candidate should have a strong track
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programming language. Preferred Qualifications: Experience with numerical modeling and/or data analytics with big data. Broad knowledge of hydrology. Experience in ML applications. Background Investigation
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institution systems may be submitted. Click here for detailed information about acceptable transcripts. A current resume/CV, including academic history, employment history, relevant experiences, and
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, including managing data access requests, ensuring compliance with ethics and governance requirements, and contributing to analysis planning and outputs using large-scale cohort and registry datasets. Develop
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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candidate is expected to develop an independent research programme within this broad scope, focusing on methodological innovation and the application of modern AI approaches to large-scale biomedical data
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. · Analyze large-scale datasets, including RNA-seq, ATAC-seq, ChIP-seq, and single-cell or single-nucleus sequencing data. · Present research findings at laboratory meetings, scientific conferences
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large administrative or claims data (e.g., Medicaid, commercial claims, or similar) Clear scientific writing and communication; a track record of publications Special Instructions Please include: · CV
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and multi-omics data analysis. Analyse large-scale metabolomics, proteomics, transcriptomics, genomics, imaging, and clinical datasets; interpret results to generate biological and/or clinical insights
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, and large-scale data analysis and computational biology. For more information about Dr. Chen’s lab, please visit here. As a successful candidate, you will: Engage in a variety of advanced techniques