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vibrant and intellectually stimulating research environment. As an integral member of the Centre's administrative team, the successful candidate will help ensure the smooth and efficient delivery
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success in achieving strategic outcomes in a large and complex environment. Good written and verbal communication skills, with the ability to communicate to a wide range of audiences with gravitas
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-solving and communication skills in a cross-functional environment. Key Responsibilities: Independently lead data analytics and AI projects from problem definition and data exploration through solution
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, with a focus on climate- and environment-related risks such as heat, air pollution, temperature variability, and urban environmental factors. The role will contribute to the collection, integration
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to work within a multidisciplinary research environment and contribute to projects involving microbial ecology, systems biology, biotechnology, and related fields. Key Responsibilities Conduct quantitative
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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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environment. • Sound judgement with the ability to develop practical, balanced solutions to complex policy and operational issues. Preferred • Experience in postgraduate education, lifelong education or
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collaborative team player who thrives in a fast-paced environment, effectively prioritises multiple tasks and contributes to both operational and project initiatives. Proficient in general software applications
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/ab initio workflows (Gaussian, ATK, CASTEP) and beyond - Mathematica, Python, Fortran implementations; UNIX/Linux environments • Collaborate with experimental groups and other theorists to design
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in a dynamic, translational research environment at theintersection of behavioural science, public health, and digital technologies. Key responsibilities include: Design, refine, and optimise mHealth