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biology and genomics, bioinformatics and computational biology. Job Summary The Zhou lab is seeking a Staff Scientist to lead the development and application of AI approaches for accelerating and automating
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sources. The job performs data analysis assignments related to data manipulation, statistical applications, programming, analysis and modeling in order to support the research efforts of faculty members
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outcomes, while ensuring access to reliable and affordable energy. The E&E Lab applies rigorous evaluation and modeling methods, including natural and field experiments, randomized controlled trials
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their practice on the care of hospitalized patients. Although clinical needs have been the driving force behind the growth of hospital medicine nationally, our program has always had a major academic focus on
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required to make data driven discoveries that increase our scientific knowledge and improve the quality of life. We architect ecosystems of large-scale commons of research data, computing resources
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to school and district leaders aligned with the NCS model for school transformation. Coach school and district leaders in implementing effective systems, structures, and practices that create school
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transfer. Demonstrated experience with cloud-resolving or super-parameterized climate models on high performance computing systems. Proficiency in Python (or Julia), Git, and Linux/Unix environments
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the lab’s focus areas. Design, develop, and validate computational methods (e.g., ML/AI models, data analysis pipelines, statistical methods). Analyze and interpret biological data. Collaborates with other
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computer science. Experience: Experience in python including torch and scikit-learn libraries strongly preferred. Experience in working with image data or unstructured text data with large language models. Preferred
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focused on the most in-demand AI competencies. These sessions will provide students with opportunities to learn and practice skills including prompt engineering, building AI models with proprietary data