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available for two years. Keywords: Geometric Deep Learning, in particular Graph Neural Networks, Deep Reinforcement Learning, Generative Modelling, in particular Denoising Diffusions, Combinatorial
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technologies that support decarbonisation and clean energy goals. The successful applicant will contribute to the computational modelling and design of Prussian blue analogues, spin-crossover metal-organic
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. Proficiency in deploying and managing wildlife camera‑trap networks and processing large image datasets. Experience developing and validating machine‑learning and AI models for image object detection and
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We are seeking a Senior Research Fellow (Clinical) to lead research that supports the co-design, implementation, and evaluation of innovative, multidisciplinary team (MDT)-based primary care models
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engagement methodologies for the design of large language model (LLM) agents within digital health interventions. Stakeholders in this context include subject matter experts—such as clinicians, healthcare
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health lens to addressing hearing loss in adults. This program aims to reshape how hearing care is viewed and delivered—shifting from a specialist-driven, clinic-based model to a more accessible
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SRH’s Program 1 (Process Integration and Sustainability) and undertake a new research activity under Project 1.2.4 – Numerical Modelling of Electric Smelting Furnace Phenomena: Melting of Direct Reduced
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frameworks, such as PyTorch (preferred) or TensorFlow, with a preference for experience implementing SOTA models and training procedures from academic journal papers. Development of data engineering pipelines
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tools to tackle some of the most complex questions in brain science. As a Level A research-only academic, you will contribute to projects that integrate computational models with experimental neuroimaging
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infrastructure, enabling sophisticated geospatial, isotopic, geochemical and temporal analyses of critical mineral systems. Develop and implement data models following FAIR data management guidelines and tools