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includes two postdoctoral researchers and scientific research assistants, with access to an international network of collaborators. The project has its own GPU environment — university hardware, reserved
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environmental microbiology and biotechnology. The Center has state of the art equipment within DNA and RNA sequencing, laboratory automation, CPU and GPU compute resources, proteomics, metabolomics, and
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generative models Is highly proficient in Python, PyTorch and/or JAX Has experience training large-scale neural networks on HPC or GPU clusters Has experience with representation learning and sequence or
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