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statistical modelling, medical imaging data analysis, cancer omics, precision medicine and translational statistics. Depending on their profile, the successful candidate will work on one of the following
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Post Doctoral Researcher Rinn Artificial Intelligence – Research & Innovation in Data Science and AI
. The host research group leads a number of projects on the development of theoretical and applied methods in statistical modelling, medical imaging data analysis, cancer omics, precision medicine and
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24 months, Fixed Term, whole-time Post Applications are invited for a Post-Doctoral research position Rinn Artificial Intelligence – Research & Innovation in Data Science and AI funded by Research
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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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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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scope of a research project. • To coordinate and perform a variety of independent and team activities involved in the collection, analysis, documentation and some interpretation of information
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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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21 Aug 2026 Job Information Organisation/Company University College Cork Department HR Research Research Field Biological sciences Researcher Profile Recognised Researcher (R2) Positions Postdoc
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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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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