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. Experience with cell state modeling from large-scale perturbation datasets, including Perturb-seq or related data. Experience with multimodal modeling for protein function or cellular state prediction
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biology and genomics. We are collaborative and multidisciplinary, combining organic chemistry, cell and molecular biology, protein biochemistry, and large-scale genetic screening in our research approach
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large-scale biological datasets. You will be directly mentored by a postdoctoral fellow, Dr. Josh Tycko, providing exposure and advice for the research career track. You will benefit from the rich
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, tool use, retrieval systems, or related AI systems Experience with large-scale datasets, distributed training, or high-performance computing environments Interest in scientific applications of AI/ML
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outstanding research in computational physics for modeling of complex physical phenomena. Additional Qualifications Candidates must have experience in carrying out large-scale computational modeling of complex