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postdoctoral candidates with backgrounds in microbiology and molecular biology. Ideally, the candidate will have experience with bacterial husbandry, cloning, genetics, microscopy/biological imaging and/or
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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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and at national/international conferences. Collaborate with an interdisciplinary team of biostatisticians, computer scientists, and climate scientists. Contribute to open-source code, reproducible
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electrical activity with high resolution in space and time. We study information processing in the brains of awake, behaving mice and zebrafish. We also work on electrical signaling in other tissues