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candidates will be working with a team of researchers on a range of topics, including artificial intelligence, RF sensing and communications, multimodal UWB RF signal data analysis, and wireless sensing
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methods with the ability to implement and evaluate machine-learning systems at scale. Candidates may come from topological data analysis, geometric deep learning, network science, statistical physics
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communications, multimodal UWB RF signal data analysis, and wireless sensing network architecture design and optimisation. It is envisaged that the candidates will be located at University College Cork’s campus. A
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Post Doctoral Researcher / Senior Post Doctoral Researcher - School of Biochemistry and Cell Biology
analysis pipelines to deliver real-world translational outcomes and contribute to a multi-omics ovarian cancer knowledge base. Candidates should submit a motivation letter, CV with publications, and contact
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techniques such as zebrafish microbiota manipulation, molecular biology including (meta)genomics and metabolomics, bioinformatic analysis, behaviour, immunofluorescence, optogenetics and microscopy. Experience
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biology including (meta)genomics and metabolomics, bioinformatic analysis, behaviour, immunofluorescence, optogenetics and microscopy. Experience in these disciplines particularly with a focus on zebrafish
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environmental perturbations become biologically embedded through the microbiome, we will define the signalling networks and neural circuits that shape brain and behavioural function. This programme seeks
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production and visual sensitivity, a web-based LCOE calculator, and a multi-criteria decision analysis (MCDA) methodology for comparing candidate demonstrator sites. The project directly supports Action 3 and
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decision analysis (MCDA) methodology for comparing candidate demonstrator sites. The project directly supports Action 3 and Action 8 of the Future Framework for Offshore Renewable Energy and Action 26
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production and visual sensitivity, a web-based LCOE calculator, and a multi-criteria decision analysis (MCDA) methodology for comparing candidate demonstrator sites. The project directly supports Action 3 and