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Responsibilities To undertake training to run CONDOR simulations and in biophysics as required. To run and analyse CONDOR simulations on our high-performance computing cluster. To develop a deep-learning model for
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utilization of raw materials, designing more efficient processes and developing new materials and products. Our department’s areas of expertise enable a sustainable future with high-performance products and
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An Innovation, Impact and Business directorate that works closely with our academics providing specialist support for external engagement and development Our Exeter Academic initiative supporting high performing
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and development Our Exeter Academic initiative supporting high performing academics to achieve their potential and develop their career A multitude of staff benefits including sector leading benefits
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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 genomic data analysis. You
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) Rewards and Benefits: 33 days annual leave, plus 9 buildings closed days for all full time staff (Part time workers should pro rata this by their FTE). Use our total rewards calculator: https://www.hw.ac.uk
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dedicated high-performance computing implementations. Technology transfer to magnetic resonance imaging in medicine is a secondary target. Key Duties and Responsibilities The postholder will develop new image
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and facilities, including Durham’s High-Performance Computer, Hamilton (15,616 CPU cores, 36TB RAM and 1.9PB disk space). As part of the Northern 8 cluster, members of Durham University can also submit
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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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(both nanosecond and femtosecond), to perform photoelectron imaging of the anions, to analyse and interpret the results, and to disseminate the results as needed. This project builds on and extends recent