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history and the genetic basis of complex diseases. Our research sits at the intersection of population genetics, statistical genetics, and evolutionary disease genetics, with a particular emphasis on
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, agentic multi-modal data science for complex transport phenomena, in addition to forward/backward uncertainty quantification, numerical analysis, and high-performance computing. Equal Employment
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and data will be lost. Posting Summary Logo Posting Number RTF00210PO26 USC Market Title Post Doctoral Fellow Link to USC Market Title https://uscjobs.sc.edu/titles/156387 Business Title (Internal Title
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analysis of complex biological and clinical data. Demonstrated proficiency in programming languages such as Python and/or R, with experience analyzing large-scale molecular, clinical, or biomedical datasets
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Materials, Bioinspired Materials and Sustainable Materials. For more details, please view https://www.ntu.edu.sg/mse/research . We are looking for a Postdoctoral Fellow to conduct research in the
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engineering, mathematics, and statistics, are particularly encouraged to apply if they have experience in machine learning, systems modeling, optimization, or analysis of complex biological and clinical data
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, influence child developmental outcomes. The Fellow is expected to demonstrate methodological rigor, intellectual initiative, and the ability to translate complex quantitative findings for
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include designing and conducting experiments, developing and integrating photoacoustic and ultrasound systems, validating technologies in animal models, and performing quantitative data analysis and
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the Parallel Systems Lab ( https://psl-ntu.github.io ) at NTU’s CCDS. The role focuses on designing, developing, and evaluating efficient, scalable systems for modern multi-agent HPC-AI workflows
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, develop and optimize advanced MS methods in metabolomics (including EAD workflows), data analysis and support collaborative studies with Henry Ford Health. Detailed description of work/duties: Research