-
interested postdoctoral researcher with strong computational and data-analysis expertise who is interested in applied problems across experimental physics. The successful candidate contributes to applied
-
innovation behaviors and processes and cultivate innovation ecosystems in complex organizations tackling multi-stakeholder, multi-attribute challenges. -Contribute to the Institute for Innovation Science's
-
with quantitative assay development, data analysis, and experimental troubleshooting Is able to work carefully with infection-relevant models and maintain rigorous documentation Is self-motivated
-
cellular biology techniques, including nucleic acid manipulation, cloning, gene expression analysis, CRISPR-based approaches, protein analysis, and functional cellular assays. Extensive hands-on experience
-
biology • Multi-omics data integration and analysis • Pharmacogenomics and computational drug discovery • Pharmacogenomics and precision medicine • AI and machine learning applications in biomedical