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will investigate phage-mediated horizontal gene transfer, employing approaches such as long-read high-throughput sequencing, faecal chemostat models, random transposon insertion libraries in gut bacteria
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Department: Computer Science Vacancy ID: 036943 Closing Date: 31-Aug-2025 We are seeking an experienced Earth Observation and Modelling scientist who has knowledge of, and expertise in analysing
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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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bacteriocin purification and antimicrobial activity analysis. Strong background in fermentation models that mimic the gut environment and analysis of associated metabolites. LanguagesENGLISH Research
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some of the highest graduate employability and knowledge transfer rates in Ireland. TU Dublin’s core mission is to provide practice-based and employer-engaged education and research models. A guiding
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emphasis on machine learning applications in asset pricing and corporate finance, alongside traditional econometric and factor modelling techniques. The successful candidate will play a pivotal role in
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evaluating CRN ML models 3. Designing and developing CRN ML architectures for tasks of chemical interest, including reaction property prediction and reaction link prediction. 4. Predicting the properties and
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background in fermentation models that mimic the gut environment and analysis of associated metabolites. LanguagesENGLISH Research FieldBiological sciences » Other Additional Information Work Location(s
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the CFD component of the DETECT project and support other aspects of the project (management, reporting and fieldwork). The overall project aims to assess coastal vulnerability and model it using a
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“Multiscale modelling of soil-structure interaction for renewable energy applications”. An improved understanding of soil-structure interface behaviour can lead to significant cost savings for offshore wind