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focused on using spatial profiling and machine learning of human specimens in combination with functional experiments in animal models to understand cancer initiation, progression, and metastasis. We
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to maintain building and computer inventory for CMES space at 38 Kirkland and 17 Sumner. Serve as Room Scheduler, coordinating and allocating CMES conference room space (rooms 102 and 208). Serve as Phone
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on type, size, location of data centers in the US, their electricity and water demand, carbon emissions; exposure to air pollution. ● Develop and/or apply methods for causal inference and machine learning
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diverse, inclusive community dedicated to alleviating suffering and improving health and well-being for all through excellence in teaching and learning, discovery and scholarship, and service and leadership
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dexterous; may be required to work on large and small assemblies. Qualifications Basic Qualifications: PhD in in a related scientific discipline Minimum of eight years’ relevant work experience Additional
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Cohorts, Fellowships and Professional Learning Opportunities: Design and launch a cohort of eds. committed to using OI curric. resources in their schools (2025–2026 academic year). Provide ongoing curric
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graduate students. Demonstrated excellence in data science, computational methods, statistical modeling or machine learning. Excellent verbal and written communication skills. Motivation to work with diverse