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-derived) Familiarity with high-performance computing environments, cloud-based workflows, or scalable model training Modeling and Scientific Integration Proven ability to integrate data-driven AI approaches
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dynamics programs, such as Molecular Operating Environment and/or Schrodinger or structure prediction programs such as AlphaFold or ESMFold, is preferred. Familiarity with running software in cloud computing
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functional genomic studies Familiarity with omics-based approaches (e.g., single cell and spatial transcriptomics, genomics, or proteomics), preferably with experience in the computational analysis and
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