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products and campaigns. Manage the end-to-end editorial process, including researching, drafting, editing, and fact-checking complex scientific and policy content. Oversee content calendars to
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infrastructure (including model training, evaluation, versioning, and deployment), ensuring tools are robust, reproducible, and accessible to the scientific community Contribute to shared AI platforms
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insight (externally and internally) to role model HR skills and professionalism Driving a culture of high performance where talent is recognised, stretched and poor performance managed Collaborating
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proposals that integrate ML/AI with model-driven experimentation, lab automation or study sampling, as well as those that advance machine learning methodology and theoretical concepts. Possible research