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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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) 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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possible co-appointment in the Department of Computer Science. The project combines theoretical and experimental approaches to develop renewable DNA computing devices that perform multiple computations in a
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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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to develop renewable DNA computing devices that perform multiple computations in a single tube. The primary purpose is to regenerate automatically through temperature cycling and use DNA as a low-energy
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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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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Munster Technological University (MTU) is a
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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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, 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