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funding until the 30th of September 2027. The successful applicant will work with our international team of expert researchers to design analysis plans, conduct systematic reviews, design, code and execute
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into impactful applications in global health. We welcome applicants with training in statistics, applied mathematics, computer science, or epidemiology, especially those with strong quantitative and coding skills
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the world’s fastest supercomputers. Two of our project partners, the University of Tennessee and Valencia Polytechnic University, will support you in integrating these codes into three widely used HPC libraries
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, developing upscaling techniques to build continuum models for biofilm mechanics, running code to simulate biofilms using continuum methods, and interfacing with other team members and experimental
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of building secure, reproducible workflows that make this process seamless for researchers and clinicians. You’ll also have a flair for coding in python and/or Laravel, problem-solving, with experience in web
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: Searching, screening, managing and qualitative coding of data sources for analysis. Writing up of findings for contribution to academic publication. Collaborative work across the University of Nottingham and
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Demonstration of relevant outputs (e.g. publications, code, etc.) High level analytical capability Ability to communicate complex information clearly Fluency in relevant models, techniques or methods and ability
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and qualitative coding of data sources for analysis. Writing up of findings for contribution to academic publication. Collaborative work across the University of Nottingham and with international
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. You will need excellent programming skills (e.g. Python, MATLAB), and a solid understanding of grid codes, standards, and flexibility modelling. Strong communication skills, the ability to work both
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has been assigned an eligible SOC code and meets the salary requirements for Skilled Worker Sponsorship if full time and appointed at Grade 7.4. Please consult our Skilled Worker Visa information page