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candidate for postdoctoral researcher position to conduct collaborative research aimed at the development of novel data mining algorithm to neuroimaging, genetic, and clinical data for brain disorders
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computational methods, working with large and heterogeneous datasets, evaluating algorithm performance and uncertainty, and translating research methods into reproducible scientific software and analyses. The
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across different genomic regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and
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comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures ( https://CGRlab.github.io/research/ ). About the research project We are open
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development. - High-performance computing ( HPC ). - Quantum algorithm design. - Error correction or error mitigation. Certifications/Licenses Required Knowledge, Skills
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Python, R, or equivalent, with experience in data analysis, algorithm development, statistics, and machine learning. Experience with multi-omic data integration frameworks, predictive modeling of
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meetings and seminars, and assist in engineering and writing statistics and deep learning software, statistical and probabilistic data analysis of results, algorithm design, and publication
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, with experience in data analysis, algorithm development, statistics, and machine learning. Experience with multi-omic data integration frameworks, predictive modeling of clinical outcomes (e.g
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. pathology images and clinical notes) to enable new discoveries across multiple patient contexts. A specific focus on advancing algorithm development through emerging deep learning techniques is of