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Field
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, Computational Science, Applied Mathematics, or a related field. Soft skills Critical thinking and problem-solving, Collaboration and teamwork, Good communication, Time management and self-motivation Hard skills
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invites applicants for a postdoctoral fellow in applied and computational mathematics to start September 1, 2025. Applicants must hold a PhD in mathematics, applied mathematics, statistics, computer science
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Computer Science or a related field Proven ability to conduct independent research with a relevant publication record. Outstanding data analytics, mathematical, and computer modelling skills. Excellent interpersonal
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PhD in a relevant field (Computer Science, Mathematics are most likely to fit the role, but we are open to Chemistry, Materials Science, Chemical Engineering, etc.), expertise in cutting-edge AI and
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PhD in a relevant field (Computer Science, Mathematics are most likely to fit the role, but we are open to Chemistry, Materials Science, Chemical Engineering, etc.), expertise in cutting-edge AI and
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in the UK. We pride ourselves on delivering high-quality teaching and diverse, real-world research. We specialise in biosciences, chemistry, computing and technology, as well as engineering, forensic
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interns, and disseminate their work through journal articles and conferences. Training : PhD in applied mathematics, computational biology, or a related discipline. Specific expertise : Demonstrated
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the following areas: applied mathematics, statistics, computational biology, biophysics, computer science, engineering, mathematical physics, or related disciplines. Reporting to Research Scientists
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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field relevant to the interface of energy technology, economics, data science and public policy. Examples of relevant disciplines include (but are not limited to): any physical, mathematical, computer or