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In this PhD project, we will develop and implement approaches for estimating the uncertainty in AI predictions of chemical reactivity, to help strengthen the interaction between human chemists and
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to develop an interactive web app that enables intuitive exploration and criteria-based search of the narratives, curated as multimedia files. You will be working with the LEND project research team, and in
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of marketing materials, including brochures, web content, advertisements, and social media campaigns. Collaborate with the University admissions and Marcom team to develop strategies that drive applications and
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rooms as well as preparing additional seed tubes to send to our colleagues at ABRC. You will also make sure any outstanding order is completed, packaged and dispatched using NASC web-based tools and
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focus on delivering high-quality, impactful communications across email, social media, and web platforms, ensuring our messages resonate with diverse audiences and align with our ambitious campaign