63 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions in Ireland
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/particulates. The project relies heavily on advanced microscopy, particularly confocal scanning laser microscopy (CSLM). This is a five year research programme and is based in the UCD School of Chemical and
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, multivariate statistics and machine learning (ML). Our lab has accumulated several large published and unpublished microbiome datasets from various body sites, including longitudinally collected samples
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and cognitive trajectories with the aim of helping to lower the age of diagnoses. Machine learning techniques will be applied to combine datasets to establish the best predictive models for children’s
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Centre at University College Cork. The ideal candidate should be a quantitative, analytical researcher with a PhD in engineering, science, or economics, or a field related to energy, and a demonstrated
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hold a PhD degree in Food Science, Packaging Science, Chemistry, Material sciences, Food Engineering or a related science discipline. Experience in packaging science, shelf-life analysis, chemical
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microscopy, particularly confocal scanning laser microscopy (CSLM). This is a five year research programme and is based in the UCD School of Chemical and Bioprocess Engineering. The appointed post-doc will
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/particulates. The project relies heavily on advanced microscopy, particularly confocal scanning laser microscopy (CSLM). This is a five year research programme and is based in the UCD School of Chemical and
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computational tools to support a rational and science-based approach to selecting formulations for critical medicines in developing countries. Project Title: Use of AI and Machine Learning to Accelerate
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environment/network of the university more widely. In the evaluation of the applications, emphasis will be placed on: • PhD degree (awarded) in ethnomusicology, folklore or other closely related areas
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. - statistical and machine learning techniques for data analysis - atmospheric chemistry research - materials chemistry research - designing and conducting experimental test procedures. Achievement