EPSRC Internships 2025

We have received funding from EPSRC to support internships and increase interaction with the Bede Supercomputer within the N8 CIR community.

We look forward to learning more about these projects at our Research symposium in September.


Learning Semantically Meaningful Representations in Image and Music Data
Reductio et Elaboratio ad astera!: Leveraging Bede's capabilities in Machine Learning for the Digital Humanities Task of Explainable Music Generation
Diminishing Biases for Dermoscopic Images using Diffusion-based Data Augmentation
Learning to run social network analyses on historical data at scale with HPC


Porting dynamical models of Covid19 from single-GPU to multi-GPU on Bede.
Local versus global spatial analysis of Neglected Tropical Diseases in Sub-Saharan Africa.
Extreme scale text analysis pipelines: comparative evaluation of UCREL-Hex, Lancaster-HEC and N8-Bede, and development of training materials and demonstrator Python scripts and notebooks
Identifying social network structure from epidemic contact tracing data


Data collection and deep learning models for music emotion recognition
Improved inverse reinforcement learning for attacker's intention inference
Benchmarking large language models for reading biomedical literature
Software Development for Automated Pediatric Brain Tumor Detection, Classification and Segmentation with 3D Tumor Imaging Tool


Geospatial, textual, and computer vision approaches to research in the humanities
Humanities data science: Geospatial, network, and textual analysis


Ballast Hill burial ground
Enhancing Healthcare for Older Adults: Predictive Heart Monitoring Using Wearable Technology - Data Science Application


Lingustic Bede
AI Care federated
Unlocking the complexity of organismal colour patterns using artificial intelligence


Reducing Ethnical Bias in 3D Face Analysis Using a Neural Network Learned Natural Illumination Prior
Deciphering the IHF-DNA Binding Mechanism: Implications for Surpressing Stubborn Bacteria
Knowledge Extraction using Large Language Models (LLMs) for Explainable Mental Health Assessment
Simulations on the H-NS protein: the sentinel of antibiotic resistance genes in bacteria
Pair Spectrometer Calorimeter Reconstruction Using Machine Learning
CIZ1 Training Ground: U-Net Approach for Drag-and-drop Image Analysis

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