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of mathematical models and simulation of industrial Heat Exchanger to be used and deployed within the GEOFLEXHEAT project. This project, coordinated by Brunel, will support all the cross activities occurring during
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Location: Sutton Bonington Project Summary: Epigenomics and behaviour in dairy cattle We are seeking an excellent Research Fellow to be part of a research project on calf epigenomics and calf behaviour. The applicant will play a key role in the day-to-day management of a field trial collecting...
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The ideal candidate will have a PhD in a relevant subject such as statistics, mathematics, physics, operations research, computer science or data science, and have a strong statistics background
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, Extensive experience in building Neural Network models and a solid foundation in mathematics. Technical proficiency in Python, C, or C++, and familiarity with Tensorflow Lite/Micro, Pytorch. Experience in
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relevant field, including statistics, mathematics, computer science, epidemiology. Strong mathematical and quantitative skills. Experience in the implementation of mathematical or statistical models and
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The successful candidate will work on the five year, EPSRC funded, Advancing Parallel Mesh Generation and Geometry Representation to Enable Industrially Relevant, High-Fidelity Simulations REMODEL Programme Grant (led by the University of Swansea). The postholder will join a research team of...
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deadlines Promotes equality and values diversity acting as a role model and fostering an inclusive working culture. Person Specification PhD (or near to completion) in physics, astrophysics, mathematics
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related discipline, such as Mathematics. You will have (or expect to obtain shortly) a PhD or equivalent qualification in the relevant area. Familiarity with automata (e.g., two-way automata and transducers
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18 Sep 2025 Job Information Organisation/Company KINGS COLLEGE LONDON Research Field Medical sciences Mathematics Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1
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are increasingly being adopted across the NHS. This role is particularly suited to candidates with a strong quantitative background. We welcome applicants with training in mathematics, statistics, health economics