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Brockenhurst College has an exciting new opportunity for a Lecturer in Mathematics to join the team on a part time basis in the range 0.5 to 1.0 FTE. We particularly looking for someone with
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for Systems Modelling and Quantitative Biomedicine (SMQB) – a strategic research centre that brings together mathematics, computer science and medicine across the University of Birmingham. Our mission is to co
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of Mechanical Engineering’s Thermofluids Group at the University of Sheffield for a fully-funded PhD on mathematical modelling and control of turbulent flows. Working under the supervision of Dr Elena Marensi
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Deadline: 17 June 2024 Details The project combines state-of-the-art advanced mathematical tools and numerical simulations to better understand, predict and control pipeline flows for greener transportation
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The project combines state-of-the-art advanced mathematical tools and numerical simulations to better understand, predict and control pipeline flows for greener transportation and energy. Working
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excellence in public and global health research, education and translation of knowledge into policy and practice. This is an exciting opportunity for a mathematics / engineering / computer science or highly
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and local communities. Essential: 1- Bachelor/MSc degree in Mathematics, Biostatistics, health informatics or any computational research degree 2- The student should be proficient in one
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We have an exciting opportunity to join us at the WIN Preclinical MRI Group as the WIN Preclinical MRI Group Lab Manager. In this role you will support a multidisciplinary group carrying out studies using high-field brain MRI in rodents – primarily mice and rats – alongside a range of related...
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experience in the areas of computer science, image processing, high performance computing, mathematics, and medicine. Dr Yanda Meng (Computer Vision, Medical Image Analysis, LLM), Prof Aline Villavicencio
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, mathematics or related discipline, possess sufficient specialist knowledge across some/all areas of: probabilistic verification and synthesis, statistical inference, Bayesian methods, neural network