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modelling (e.g., LSTMs) and deep generative/unsupervised anomaly detection techniques (e.g., VAEs). *Strong programming proficiency in Python and familiarity with standard data science and machine learning
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mouse models. The research will include colony management and genotyping, deployment and evaluation of in vivo gene therapy treatments, EEG and behavioral assessments, histology and molecular studies
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Data Analytics and Modelling Infrastructure (ÉireOcean-TWIN) For an information package including full details of the post, selection criteria and application process see https://ore.ucc.ie
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strands. • Bespoke modelling of tumour metabolic function using 3D and 4D imaging data • Cancer patient risk prediction using machine learning (with experience in particular in radiomics and transcriptomics
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Post Doctoral Researcher Rinn Artificial Intelligence – Research & Innovation in Data Science and AI
patient risk prediction using machine learning (with experience in particular in radiomics and transcriptomics) • Multi-omics for non-cancer health screening applications, • Machine learning modelling
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=bXdvamNpay41MDg5OC45OTA4QHVuaWNkdWJsaW4uYXBsaXRy… Requirements Skills/Qualifications Communication skills, computational modelling, analytical and computer programming skills Additional Information Website for additional job details https
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MCDA, and WP5 Communication, Dissemination and Exploitation. This position leads UCC’s contribution to WP2 (Cost of FLOW) and involves the weather resolved-logistics modelling that feeds the LCOE
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minimum, applicants should have prior experience of working with murine models of infection and/or murine models of allergy, especially gnotobiotic models. Applicants who also have prior experience with
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machine-learning models to investigate how brain, environment and social factors influence cognition, ageing and neurodegenerative disease. The role will contribute primarily to WP6 and related analytical
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by researchers using state-of-the-art artificial intelligence (AI) and machine learning models. These insights will contribute to broader industry and academic discourse on POAO and agri-food value