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, single-cell multi-omics, computational biology, and experimental immunobiology to understand how genetic variation shapes hematopoiesis, immune, metabolic, and neurocognitive phenotypes in autoimmune
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will focus on distributed acoustic sensing on pre-existing telecom fiber networks, wavefield analysis, structural and geophysical interpretation, multi-modal data fusion, and lab-scale and field
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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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will have access to unique multimodal datasets derived from prospective clinical trials, large-scale electronic health record (EHR) resources, medical imaging, and multi-omic profiling platforms
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focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology
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translate these discoveries into precision medicine. We develop computational and statistical methods while integrating human genetics, single-cell and multi-omics, large-scale biobank resources, and
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scientific leadership. Job Responsibilities include, but not limited to: Genomics & Multi-Omics Research Design and execute large-scale genomics studies using GWAS, QTL mapping, and pedigree-based
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report. Job Requirements: A PhD’s degree in mechanical engineering or related engineering field. Know multiple-scale and multi-phase numerical modeling and familiar with lattice Boltzmann simulations
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malignancies. Developing predictive models for precision oncology: We leverage large-scale multimodal datasets, including molecular profiling, clinical records, imaging, and longitudinal treatment histories
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validating multi-modal biological models. The team will: i) generate experimental perturbation and measurement data at scale, ii) build multi-modal biological models and, iii) use the experimental data