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candidates will also have demonstrated experience in at least one of the following areas: chemical biology, microbiology, cell biology, pathogen disease research, computational approaches to drug design
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methods to single-cell multi-omics and epigenomic data in applications focused on gene regulation and noncoding variant interpretation. Publish in top venues, present at major conferences, and contribute
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Qualifications at this Level Education/Training: PhD (theoretical nuclear/high-energy physics, quantum information science, lattice gauge theories, quantum many-body dynamics) Experience: Preferred--computational
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for genomics (e.g., generative models, transformers, agentic workflows) and/or statistical learning (e.g., network & spatiotemporal modeling, functional/longitudinal data, time-series). Analyze single-cell