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Applications are invited for a fully funded fixed-term at the Research Assistant / Associate (PostDoc) level in high performance computing for computational fluid dynamics applications. High
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, computer science, statistics, or a related field together with strong programming skills in Python, R, or similar languages, and proficiency in high-performance computing. You will have experience in large-scale
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the field of software architecture with a specific focus on: Performance and Reliability Engineering in Deployment Architectures, Software Engineering Methods for Performance Engineering, Software Engineering
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computational workflows on a high-performance cluster. You will test hypotheses using data from multiple sources, refining your approach as needed. The role also involves close collaboration with colleagues
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depending on funding. The Oxford Ion Trap Quantum Computing group currently hosts one of the world’s highest performance networked quantum computing demonstrators, capable of remote Bell-pair production
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part of your personality: Completed doctoral/PhD studies in theater and performance studies Publications in the field of theatre and cultural studies Lectures and international networking activities in
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and leading a programme of numerical simulations relating to all aspects of our research on P-MoPAs; using particle-in-cell computer codes hosted on local and national high-performance computing
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these bioinformatic experiments. Access to a high-performance computer will be provided. The candidate must be capable of generating complex molecular compound models in silico and using current molecular dynamic
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science, who are excited about testing conceptual biological questions in vivo, and who thrive in professional and high-pressure environments where scientific curiosity and focus drive excellence. You will
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nanocomposites ¿ Manufacture prototypes using the new materials and evaluate their performance ¿ Investigate science underlying the material functions and processes ¿ Work with internal and