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of Dr Marco Monopoli in the Chemistry Department at RCSI University of Medicine and Health Sciences. The priority focus of this role is on utilising and applying mass spectrometry and glycan analysis
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technologies. Competence in data management, statistical analysis, and visualization tools (e.g., MATLAB, R, Python). Knowledge of marine operations and safety protocols, including working on research vessels
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Research Assistant on the AI Sprayer project plays a key technical and team leadership role, primarily focused on advancing the system's computer vision pipeline, including visual odometry and plant-species
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simulation and laboratory testing of marine renewable energy technologies. Competence in data management, statistical analysis, and visualization tools (e.g., MATLAB, R, Python). Knowledge of marine operations
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-throughput biomarker and data analysis and modelling, Zero_HiddenHunger_EU will deliver credible evidence enabling policymakers and food system actors to work towards eradicating micronutrient deficiencies in
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. The role requires strong expertise in microbiome bioinformatic technologies (e.g., shotgun metagenomics), and advanced data analysis including statistical modelling, multi-omic integration and reproducible
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advanced data analysis including statistical modelling, multi-omic integration and reproducible computational pipelines. The Senior Post-Doctoral Researcher will integrate microbiome outputs with clinical
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, complex quantitative datasets, Experience of quantitative research related to child development, Longitudinal data analysis Additional Information Eligibility criteria Mandatory: *PhD in psychology
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engineering research since 2016. MNMT- Dublin has particular focus on instruments development and high precision manufacturing combined with optical and bio-medical technologies applied in optical image, visual
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to ensure adequate supply of vitamins and minerals from diets from sustainable sources. Using high-throughput biomarker and data analysis and modelling, Zero_HiddenHunger_EU will deliver credible evidence