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will also be required to attend other campuses to support team and student activities. These will be arranged in advance with your manager. Our working model arrangements are a non-contractual benefit so
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We are seeking a motivated and Talented experimentalist for a full-time Postdoctoral Research Assistant in Modelling of Quantum Computing Control Systems within Professor Ares’ and Professor
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will develop novel tools which will allow efficient flow modelling tools for other researchers to explore higher fidelity thermochemistry modelling. The main responsibilities of the post will be
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the computational models using benchmarks and experimental results while assessing and improving the performance of algorithms on high-performance computing (HPC) clusters. This is a fantastic opportunity for you to
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, such as sedimentation, meltwater flow, and vegetation change, into active drivers of adaptive design. This interdisciplinary work combines advanced computational tools, including 4D point cloud modeling and
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. The project will involve experiments at Free Electron Laser Facilities and subsequent analysis and modeling of the data. The successful applicant will join a vibrant research group that uses a wide variety of
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focus on developing SRSF1-based gene therapy approaches in a C9orf72-ALS/FTD mouse model and patient-derived neurons. The successful candidate will have a robust track record of research experience in
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of Manchester and Oxford. The CoRE will leverage cutting edge computational approaches, novel experimental models, and experimental medicine studies to uncover how pollutants and infections interact with our
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, the successful applicant may contribute to areas including, but not limited to: Spatio temporal modelling and forecasting (e.g., epidemic dynamics, population-level health trends, video reconstruction) Robust and
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flexibility and adaptability to be able to keep up with an ever-changing environment. You’ll also need to be physically fit and able to assist with the preparation, delivery and clear up of anatomy teaching