30 high-performance-computing-postdoc Fellowship positions at University of Nottingham
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, implementing, and optimising advanced AI algorithms, with deep proficiency in machine learning architectures, scalable model development, and high-performance code. The role holder will have the opportunity
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to assess the performance of oral dosage forms in the gastrointestinal tract using advanced techniques such as MRI and HPLC. The successful candidate will join highly motivated and well-funded research teams
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workflows for training machine learning interatomic potentials for solid-state materials. High-throughput computational screening and materials discovery, including the application of machine learning methods
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In this role you will support the delivery of two exciting, EPSRC-funded research programmes at the University of Nottingham, working across AI, human-computer interaction, and creative technology
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Applications are invited for a Research Associate/Fellow to work on a Welcome funded project using multiple molecular genetics techniques including high throughput CRISPRi screens, lung cell and
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performing simulations of normal compression, shearing, unload-reload hysteresis and creep. A second Research Fellow will work on the project for a duration of 3 years starting one year after the project
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multidisciplinary and multicultural team. · Ability to devise, advise on and manage a research programme. · A consistent track record of high-quality peer reviewed publications in cardiac electrophysiology modelling
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the computational neuroimaging group (https://conilab.nottingham.ac.uk ). The team have an established track record in developing computational neuroimaging technologies for mapping the brain at a
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written communication skills in English, including the ability to communicate with clarity on complex information. Excellent communication skills in Chinese is a plus. High analytical ability to analyse and
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: Prepare high-quality manuscripts for submission to leading journals, present research at national and international conferences, and contribute to the visibility and impact of the research team. Secure