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-Performance Computing (HPC) systems are essential infrastructure for solving complex scientific and engineering challenges. However, the rapid growth of HPC alongside AI is creating an urgent sustainability
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studies, science and technology studies (STS), and philosophy our project will critically explore regulatory approaches and their unfolding impacts in three regions: Europe (France/Greece/Ireland/UK), West
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Prof. Emma Hart at Edinburgh Napier University. The team is strongly supported by academic partners from Massachusetts Institute of Technology (MIT) and Texas A&M University (TAMU) in the USA and Charles
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computing for computational fluid dynamics applications. High-Performance Computing (HPC) systems are essential infrastructure for solving complex scientific and engineering challenges. However, the rapid
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should have a recent doctoral degree in electrical engineering, control engineering, or a related field. For the physics-informed AI position, a doctoral degree in computer science or applied mathematics
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computational sciences, decision-maker education campaigns, and training the next generations of technology governance leaders. It is one of the few organisations in the world to focus on the governance of AI
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such as cancer biology, immunology, or genomics. Strong communication and collaboration skills are essential. Experience working with genetically engineered mouse models is desirable. Applicants
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industry, as well as academic groups in chemical biology, chemical engineering, and data science. We have an excellent structure for the continued education of our group members and offer teaching and
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of Engineering Science (central Oxford). The post is funded by the EPSRC research funds and is fixed-term for up to one year. The successful applicant will have experience on using sequential decision-making methods
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conference presentations. You should hold (or be near completion of) a PhD in Chemical Engineering, Environmental Engineering, Materials Science, or a related field. Essential skills include hands