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21555BR University IT Managerial, Professional and Specialist Staff – MPSS Advert Systems Support Developer/Analyst (BI Developer) Us We want to make Cardiff University an institution that is
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The Duarte Group works at the forefront of computational chemistry, developing predictive tools for reaction modelling and molecular design across catalysis, sustainability, and health. Alongside
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Fixed term, 4 years Applications are invited for the post of Scientific Computing Officer. This role is within a small team, supporting and implementing the latest open-source technologies running
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a groundbreaking £6 million EPSRC Programme Grant to reduce the soaring energy demands of artificial intelligence . The computational team will work in collaboration with many partners in academia and
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3.5-year D.Phil. studentship Supervisors: Prof Noa Zilberman The training of new AI models, as well as their deployment for inference, is transforming the design of computer networks. In
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and programme teams and team leaders, allowing you to work to high standards and potentially make suggestions based on your own skills and experience to enhance the curriculum. This position may be
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ACCE+ DLA Programme: Quantifying water storage beneath the Greenland Ice Sheet and its influence on ice dynamics and runoff School of Geography and Planning PhD Research Project Competition Funded
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BBSRC Yorkshire Bioscience DLA Programme: Predicting pathogen evolution: using experimental evolution to understand the impact of phage therapy on Clostridioides difficile School of Biosciences PhD
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We are looking for an enthusiastic and highly motivated Postdoctoral Researcher to join our dynamic research team in the exciting, interdisciplinary field of plasma-liquid interaction. This is a unique opportunity to contribute on new horizon research investigating how an optical plasma...
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The computer and database technician will be responsible for management, troubleshooting and optimization of the database system at the 14CHRONO radiocarbon laboratory, ensuring it is secure, robust