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of Psychology, supervised by Associate Professors Dr. Katja Kornysheva (School of Psychology), and Dr. Jian Liu (Computer Science). This post is funded by the College of Life and Environmental Sciences
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role will contribute to the development and delivery of a customer-focused approach to drive effective service delivery (digital and physical) across the institution. You will determine the strategic
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research partners. This research is highly interdisciplinary. So, you may come from a background including but not limited to chemistry, mechanical engineering, material science, physics, mechanics
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experience in Mechanical Engineering, Applied Mathematics, Physics, Acoustics, Computational Science or a closely related discipline. Strong experience in numerical/computational modelling (e.g., FEM
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the Student Record Systems Programme (SRS), reporting directly to the Programme Manager. You will hold full accountability for the successful delivery of all functional capability workstreams, providing
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, physics, chemical engineering, computer science (chemistry-focused), or a related field. Strong programming skills in Python and C/C++ are required, along with experience in molecular simulations, machine
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and, in particular, the study of the geometry and topology of wandering domains, Hausdorff dimension and computational complexity of Julia sets, and the dynamics of holomorphic self-maps
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. Excellent written and spoken English 2. Computer literate and able to use standard Events software 3. Excellent organization and planning skills 4. Ability to prioritise workloads as
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findings at international conferences. Required qualifications and experience: To succeed, you will hold a PhD (or be close to completion) in Computer Science, Applied Mathematics/Statistics, Physics
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process is a critical bottleneck, leading to inconsistent quality, costly rework, and the risk of shipping flawed products. This project seeks to move beyond these limitations by developing cutting-edge AI