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computer vision method for medical image analysis principally in oncology or pathology, with a possible focus on generative AI, explainability, multi-modality. Candidate’s profile A good Bachelors degree
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unified artificial intelligence (AI) model capable of segmenting 3D medical images from standard clinical scans and generating 3D meshes across multiple imaging modalities. The project will also investigate
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extremity joint kinematics in swing and stance against 3D motion capture system(s). Utilise match data to analyse and create a gait analysis report of players and officials, thereby creating the first user
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methods to create precisely controlled 3D structures Developing routes the depolymerise and re-print the materials in a closed loop manner Undertaking analysis to understand the green chemistry and
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equipment (e.g., 3D scanning, surface inspection). Familiarity with data analysis tools (e.g., MATLAB, Python, or similar) and basic knowledge of machine learning is an advantage. Familiarity with research
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Supervisors Primary Supervisor - Dr Calum Williams Secondary Supervisors - Dr. Maciej Dabrowski , Prof Simon Horsley This PhD studentship will develop 3D-printed optical metamaterials to control
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make them excellent candidates for topical wound healing treatment, the potential application of foldamers as biomaterials has not yet been explored. Moreover, 3D scaffolds obtained from supramolecular
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the fields of nanoelectrochemistry, electrochemical imaging, kinetics and mechanisms, hydrodynamic techniques, spectroscopy, microscopy (AFM and STEM), programming, data analysis, and multiphysics modelling
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such as micro-XRF, synchrotron diffraction, SIMS, and 3D X-ray CT, it will reveal how variations in composition, microstructure, and metal-making processes shape an object's unique metal pedigree
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Assessment Systems: Toward Trustworthy AI for Complex Educational Evaluation Image and Video Analysis Using Machine Learning Algorithms Mathematical and Computational Neuroscience, from neural data and network