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The Director will provide strategic and operational leadership for the Global Institute's AI and EdTech portfolio, including the AI Literacy & Creator Collective and the Better Future Hub. They will drive vision, manage partnerships, oversee team capacity, and represent the organization's agenda to global stakeholders.
The Chief Learning Officer will lead a global AI learning agenda and cultivate strategic partnerships with major technology organizations to advance educational transformation. They will also manage a cross-functional AI Circle to foster collaboration and ensure ethical AI adoption across the global network.
Manage the AI Literacy & Creator Collective programming and develop strategic partnerships with frontier AI companies. Build and scale a global community of educators across platforms like WhatsApp and Discord to foster AI adoption in education.
Design, plan, and provide technical oversight for global exploration drilling programs to ensure safe and high-quality data collection. Serve as the technical lead for multiple concurrent projects, collaborating with science teams to translate exploration objectives into executable operational plans.
Lead the identification and implementation of AI-forward technology solutions to accelerate impact across a global education network. Manage a team of engineers and specialists to develop strategies that increase organizational effectiveness and network efficiency.
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The Data Scientist will build predictive models and develop proprietary software tools to identify ore-forming processes and mineral deposits. They will collaborate with geoscientists to integrate complex geoscientific data and design field programs to reduce uncertainty in exploration targets.
The Data Scientist will build predictive models using scientific computing and statistical methods to locate ore-forming processes and predict mineralization in 2D and 3D, while helping to build a worldwide dataset with careful uncertainty quantification. They will create models and develop software to accelerate critical battery metal discovery, working closely with geoscientists to guide exploration and field programs.
The Data Scientist will build predictive models using scientific computing and statistical methods to locate evidence of ore-forming processes and predict mineralization locations in 2D and 3D. They will also help build a worldwide dataset, create models, and develop software to accelerate the discovery of critical battery metals.
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