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capacity to learn techniques involving small animal models for in vivo research Experience or demonstrated capacity to learn genetic engineering, molecular cloning, molecular biology assays, and bacterial
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and metalworking. Thorough working knowledge of 2D and 3D modeling software (Rhino preferred) and digital fabrication equipment (CNC routers, 3D printing, laser cutting, and Zund cutters). Prior
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Institutional Data, Evaluation, Analytics, and Strategy (IDEAS) seeks a versatile data professional who translates advanced analytics and predictive modeling into scalable, actionable solutions for campus
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across the university's data center, network, and audiovisual infrastructures. The ideal candidate possesses a can-do attitude and a willingness to learn. The candidate should possess hands-on proficiency
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at a computer workstation for extended periods of time. Workplace Location: This position is exclusively on-site, necessitating all duties to be performed in-person at Rice University. Per Rice policy
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support to Rice first-generation/limited-income (FGLI) undergraduate students. Using a relationship-centered, proactive advising model, this position will work closely with FGLI students, guiding them in
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financial system iO Willingness to learn new computer programs, apps, tools and website platforms Rice University HR | Benefits: https://knowledgecafe.rice.edu/benefits Rice Mission and Values: Mission and
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, and large-scale stochastic systems. Faculty apply these strengths to critical fields including energy systems, medical imaging, neuroengineering, and climate modeling. Faculty & Staff: The department
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empirically equivalent quantum models. A prototype model can be explored at qsf-v1. The ideal candidate will be: Skilled in computational modeling and numerical simulation of quantum systems Skilled in
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, and large-scale stochastic systems. Faculty apply these strengths to critical fields including energy systems, medical imaging, neuroengineering, and climate modeling. Faculty & Staff: The department