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AI while continuing to grow as scholars within a collaborative academic environment. Postdoctoral AI Researchers will work closely with Kempner faculty, researchers, and students on foundational
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/ML to important questions in neuroscience and biological intelligence, while continuing to grow as scholars within a collaborative academic environment. Candidates should be within 2 years of receiving
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. ● Contribute to open-source code and reproducible pipelines. Basic Qualifications ● PhD (completed or near completion) in Statistics, Biostatistics, Data Science, Computer Science or a closely related field
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research workflows, and, where possible, public tools or model artifacts. Basic Qualifications PhD (completed or near completion) in one of the following or a closely related field: Computer
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modern AI to important problems in protein biology, cellular systems, and biological intelligence, while continuing to grow as scholars within a collaborative academic environment. Candidates should be
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to open-source code, reproducible research workflows, and, where possible, public tools or model artifacts. Basic Qualifications ● PhD (completed or near completion) in one of the following or a closely