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religious thought, practice, ethics, institutions, and communities. The postdoc will conduct independent and collaborative research at the intersection of AI, theology, religious studies, ethics, and social
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are desirable. We particularly encourage applicants with expertise in Multi-scale Modeling, Evolutionary Computation, Diffusion models, Reinforcement Learning. The successful candidate will work in a highly
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processes, cancer mutations, and drug mechanism of action using chemical biology and genomics. We are collaborative and multidisciplinary, combining organic chemistry, cell and molecular biology, protein
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strategies. Duties and Responsibilities Design, implement, and evaluate deep learning models for spatiotemporal data, with an emphasis on medium-scale foundation models. Leverage model embeddings in causal
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statistics, computing, machine learning (ML), and genetics and genomics, with a focus on large-scale genetic, genomic, and phenotype data. The work will involve both methodological research and collaboration
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Company Description By working at Harvard University, you join a vibrant community that advances Harvard's world-changing mission in meaningful ways, inspires innovation and collaboration, and