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curious to deliver work that matters, your journey starts here! The Language Technologies Institute (LTI) at Carnegie Mellon University is a world-renowned research and education hub at the forefront
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curious to deliver work that matters, your journey starts here! The Language Technologies Institute (LTI) at Carnegie Mellon University is a world-renowned research and education hub at the forefront
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curriculum development; Experience managing, analyzing, or working with complex research data; Understanding of computational reproducibility best practices; Experience with one or more programming languages
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curriculum development; Experience managing, analyzing, or working with complex research data; Understanding of computational reproducibility best practices; Experience with one or more programming languages
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emphasis on practical problem-solving, interdisciplinary learning, a transformative spirit, and collaboration. The Language Technologies Institute (LTI) at Carnegie Mellon University is a world-renowned
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university’s creative, dedicated, and close-knit community. We place emphasis on practical problem-solving, interdisciplinary learning, a transformative spirit, and collaboration. The Language Technologies
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valued Preferred (but not required): · Experience with spatial transcriptomics, bacterial community modeling, image segmentation, or machine learning in biological contexts · Programming
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programming skills, and completed coursework in probability and statistics. · Fluency in spoken and written English and strong oral and written communication skills. · Experience preparing
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characterization tools such as SEM, FIB, XRD, and TEM. Strong publication record in peer-reviewed journals and excellent verbal and written English communication skills. Ability to work independently and
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synthesis topics such as using large language models for evidence synthesis or using open source software to manage and conduct literature review; Serve on organizing and programming committees of open