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, Biostatistics/Statistics, Mathematics, Biomedical Engineering, or a related field by the start date. Skills: We welcome candidates grounded in one or more of the following: Generative AI/transformers, agentic AI
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understanding of thermodynamics and kinetics of materials, solid-state physics, crystallography/group-theory, and inorganic chemistry. · Solid communication skills, both verbal and written. · Strong
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well as a passion for quantitative-biology and synthetic-biology research. The ideal candidate should have a recent Ph.D. in microbiology, evolutionary biology, computer science, physics, applied mathematics
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genomics, metabolomics, or microbiome analysis Computer science, particularly machine learning, artificial intelligence, data science, or computational biology Mathematics or statistics, with experience in