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modeling, bioinformatics, and real-world patient data, the lab is committed to transforming high-dimensional biomedical datasets into actionable insights that directly inform precision medicine and guide
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on using unstructured and overset meshes with high-fidelity algorithms to obtain scale-resolved data. Candidate will also post-process data using data-driven and physics-driven methods to extract fundamental
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breeding, bioinformatics, computational biology, genetics, molecular biology or related field Required Experience • Experience with high-performance computing and analysis of next-generation sequencing
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. Candidates with background in biochemistry, molecular and cell biology are preferred. Our lab investigates the gene regulatory networks in muscle stem cells using cutting-edge high-throughput studies, single
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high-performance numerical experiments, analyze data, and communicate your findings through journal publications and conference presentations. The ideal candidate holds a Ph.D. in Chemical Engineering
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breeding, bioinformatics, computational biology, genetics, molecular biology or related field Required Experience • Experience with high-performance computing and analysis of next-generation sequencing
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individualized assessments. This role provides high-quality mentorship and training in clinical research, grant writing, and methodological rigor, and is ideal for candidates aiming for careers in translational
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high-performance numerical experiments, analyze data, and communicate your findings through journal publications and conference presentations. The ideal candidate holds a Ph.D. in Chemical Engineering
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Upgrade for the high luminosity running of the LHC and searching for Beyond the Standard Model physics using effective field theory. The Post Doctoral Scholar will take a leading role in analysis of Run 2
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immune escape mechanisms in lung cancer. This position is supported by a newly funded NIH grant. The research will involve high-throughput functional genomics using CRISPR-based screening, lineage tracing