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-quality software. Collaborate with Product Owners and partners to handle delivery timelines and scheduling expectations. Track, monitor, lead, and report to ensure projects are delivered within scope
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Automatically Detecting, Reproducing and Fixing Flaky Software Tests School of Computer Science PhD Research Project Directly Funded Students Worldwide Prof Phil McMinn Application Deadline: 28
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Application Deadline: Applications accepted all year round Details In this project you will combine state of the art software development approaches for GPU programming with the study of interactions of high
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manipulation in manufacturing tasks. You will enhance the research, and related activities of the group drawing on your own expertise and that of your colleagues. In addition to strong software development
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responsibilities spanning detector operation, modelling, software development, and data analysis. This PhD project will focus on addressing the short baseline anomalies through measurements of key parameters which
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to use micro-computed tomography (µCT) and scanning electron microscopy (SEM). The student will analyse 3D-rendered semicircular canal morphology using morphoHeart, software developed for the heart in the
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. You will benefit from: Access to high-performance computing resources: HPC Stanedge. A comprehensive suite of commercial and open-source software (e.g., Abaqus, Ansys, COMSOL, MATLAB, PyTorch, …). A
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[assessed at: application, interview] Proven IT skills, with experience of working with the Microsoft Office Suite (particularly Word and Excel), email and the ability to learn new software [assessed
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the IT industry (Itecho Health Ltd in Leeds). You will be instrumental in supporting the successful development, integration, testing and deployment of a remote monitoring software platform (called Ascelus
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ultra-short echo time MRI approaches adapted for the paediatric population. Software tools for motion-resolved, dynamic image reconstructions from free-breathing scans will be established, considering