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Field
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of the supervisory team will share code and provide support where needed. Feasibility: Objectives for this project are well defined and the student will have the flexibility to tackle the objectives that align most
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may decide to implement a same format slightly differently, leading to irreproducible results, non-portable code, hard-to-find bugs, and other unexpected behaviours. On the backdrop of this complex
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Step 1: Submit your application to the QBS PhD programme via the QUB portal and enter the code QBSPGR2025/26 in the funding section: 🔗 myportal.qub.ac.uk Step 2: Email the following documents to Louise
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, gathering and coding morphological and geospatial data. You will be encouraged to collaborate in writing the publication arising from this work. Student profile: The applicant must be meticulous, enthusiastic
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the collaborative interaction of the student and the supervisors who will actively participate in all stages of the project. Input data and training for the use of the code and global sensitivity analysis techniques
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upper second-class honours degree (or equivalent) in Engineering, Physics, or Applied Mathematics. Experience in coding and CFD is advantageous but not mandatory—an eagerness to learn and innovate is key
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aforementioned tasks with the following actions: Develop the principles and theories for governing the scalability principles for building innovative robotics end-effectors that can access geometrically complex
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codes to characterise the expected performance of proposed measurement techniques and detector arrangements. This will be followed by validation measurements using UK national neutron facilities such as
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, or the equivalent qualifications gained outside the UK. Experience in coding in both Python and R is essential.
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learning. The project involves a collaborative team, including a postdoctoral researcher and a PhD student, with specific objectives: Define and acquire a comprehensive database of high-quality video priors