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multicellular human heart tissue constructs derived from induced pluripotent stem cells. As part of the PhD program, you will receive advanced training in biofabrication, microscopy, computer vision, and hydrogel
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laboratories and tutorials as part of the scholarship. Tasks: The successful candidate will be involved in: 1. Devising and implementing algorithms for machine learning (ML) on hypergraphs generally and CRNs
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: On site Car Parking On site dining facilities On site TFI Bike Sharing Station Eligibility criteria Essential: Hold a PhD in a relevant discipline at the contract start date. Relevant Research Experience
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new machine learning methods to integrate remote sensing of farm habitats with ground level scoring of farm biodiversity value but many issues still need to be considered. This Post Doc presents
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’ . Prof Jaime Martín Pérez and Dr Xabier Rodríguez Martínez at University of A Coruña, Spain. One research project available on the topic: ‘Experimental and machine-learning study of the thermodynamics and
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Research Fellow in AI for Healthcare (1 FTE) – ArcHub ICUSafeNotes-School of Computer Science 011287
breakthroughs into commercial healthcare solutions. In the ICUSafeNotes project, we are conducting research and development of multimodal machine learning models that includes ICU note summarisation and analysis
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machine learning will complement experiments to accelerate material optimisation, with applications in hydrogen fuel cells and sustainable energy systems Where to apply Website https://tus.ie/rdi/research
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at Trinity College Dublin (TCD) seeks to appoint an outstanding, enthusiastic, and highly motivated Research Fellow who will contribute to a project that uses machine-learning methods to forecast
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learning, and innovative thinking. Join us at RCSI, where your contributions will be recognised, and you will be part of a dynamic team making a real impact on global health. About PRiCAN PRiCAN (Primary
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leadership on the use of generative AI for developing the machine learning model, system integration and deployment, analysis and optimisation, working closely with the Principal Investigator and managing