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Durham, you will have access to state-of-the-art instrumentation and facilities, including Durham's High-Performance Computer, Hamilton (15,616 CPU cores, 36TB RAM and 1.9PB disk space). As part of
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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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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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activities; High level of written and oral communication skills; Very good written and spoken English; Computer skills; Ability to work in a team; What we offer: Work-life balance: Our employees enjoy flexible
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overnight stays. Computer literacy and ICT competence. Understandings of ethics in Criminology and GDPR requirements. A commitment to equal opportunities policies and practices. A commitment to Open
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into the same devices. The research project is part of a larger consortium, gathering world-class researchers in remote sensing with expertise ranging from estimation and optimization theory to hardware design
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also highly valuable. The successful candidate will be expected to work on estimating dynamic models of medical spending and savings and is expected to publish in high-impact academic journals, and to
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Oxford’s Department of Orthopaedics (NDORMS) as well as collaborators in Bristol and Cardiff. You should have a PhD/DPhil (or be near completion) in robotics, computer vision, machine learning or a closely
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will be expected to work on estimating dynamic models of medical spending and savings and is expected to publish in high-impact academic journals, and to contribute to the collegial and intellectual life
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identified in other WPs. The model construction will be informed by qualitative and quantitative knowledge of supply chain processes through dialogue with stakeholders, and model parameters will be estimated