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collaborators including Google AI Genomics, thus expanding opportunities for networking and mentorship. Together, the consortium is building transformative AI tools to accelerate biodiversity science and enable
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transportation agencies. The Postdoctoral Associate will join a multidisciplinary team of faculty, researchers, software developers, and agency partners, and will support ongoing deployment and expansion of tools
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existing tools, data, and expertise in science, education, and communication. Rose Postdoctoral Associates are selected annually via a competitive process, with applications due on September 9th
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. The individual is required to use tools in chemical ecology, genomics, molecular biology, and AI-driven predictive modeling in the research project. Specific duties will include: (1) gather and merge existing data
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Responsibilities will vary depending on the Fellow’s background, but may include: Developing machine learning, optimization, or simulation models to improve clinical operations and resource allocation Advancing
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with students, faculty, staff, and community members. Strong written communication skills. Preferred Qualifications: Experience with computational tools for microbiome sequencing analysis (e.g., HUMAnN
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new tool development CAROW advances the work of faculty and institutes conducting translational labor research and brings them together to drive new insights. Responsibilities: This position will
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focused on collecting and disseminating biodiversity data (e.g., eBird) to enhance the information and decision-making tools available to conservationists and scientific researchers. The center achieves
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. Preferred Qualifications: Experience with computational tools for microbiome sequencing analysis (e.g., HUMAnN, MetaPhlAn, or similar). Proficiency in programming languages for data analysis (e.g., R, Python
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nutrition and feed processing. Proficiency in life cycle analysis Familiarity with nutrition modeling tools such as CNCPS. Excellent written and verbal communication skills. Ability to work independently and