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in mathematical biology. Proficiency in Python, Julia or another programming language relevant to scientific research. Excellent communication and organisational skills. The ability to work
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of bank holiday and University closure days) Access to a range of CPD to support your career development, with three defined pathways for progression. Free foreign language evening classes. Employee
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have expertise in model parametrisation, numerical simulation, bifurcation analysis, and programming (with no specific restrictions on programming language). The successful applicant will be able to use
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discipline such as epidemiology, mathematics, physics, statistics, bioinformatics or computational biology, or similar research experience. Candidates should have proficient knowledge of a programming language
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subject, have experience of managing and manipulating large and complex datasets as well as proficiency in a statistical software programming language in packages such as Stata or R and have an emerging
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verification. You should have experience with high-performance programming language (e.g. C++, Rust, Go), or framework (CUDA, Tensorflow, MPI), with the ability to develop, maintain, and optimise complex systems
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systems. You should be a confident programmer in a systems language (such as C/C++, Rust, Java, or Go), with the ability to develop, and maintain integrate maintain complex systems. You will be
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architectures and systems, distributed computing, high-performance computing, or formal verification. You should have experience with high-performance programming language (e.g. C++, Rust, Go), or framework (CUDA
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other events. They will have expertise in model parametrisation, numerical simulation, bifurcation analysis, and programming (with no specific restrictions on programming language). The successful
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. Knowledge of a programming language, with an emphasis on R and/or Python, is also strongly advised. As a member of the team, you will be based at the Institute for Transport Studies (ITS) where you will work