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Offer Description Location: Trinity College Dublin School: School of Computer Science and Statistics Funding for: EU and non-EU students Funding amount: €24,500/year Closing date: 30/Apr/2024 PhD
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how they meet the following essential criteria: A PhD qualification. Extensive competence and experience in machine learning and data analytics, including modelling of medical equipment and industrial
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must have concluded a PhD in Computer Science, Data Science, Artificial Intelligence, Computer Engineering or related area (essential). • The candidate should have a background Data Science/Machine
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body or body-part is the actors own. This particular RA role will be related to using machine learning to enhance embodiment of humans and animals. This will involve working with the PhD and Postdoc
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Intelligence, Computer Engineering or related area (essential). · The candidate should have a background Data Science/Machine learning with experience in Large Language models and/or conversational AI
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learning or the skills and ability to work on the development of machine learning algorithms. Must not already hold a doctoral degree Must comply with the Marie Skłodowska-Curie Action mobility rule: not
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(essential). Advanced experience in GIS (essential). Appropriate experience (essential) in either (1) machine learning (fully-convolutional neural networks) applied to remotely sensed data, either/or (2
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mass cytometry. A bioinformatician, conversant with different machine learning and modelling of complex datasets requiring integration. S/he will curate, clean and analyse all data, developing
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-informed machine learning and data driven approaches for dynamical process modelling and monitoring. Develop a computational intelligence approach to utilize sensor data with computational process models
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Language Processing (NLP) and machine learning use and research (Essential); A strong technical background including strong programming skills ((Essential) Knowledge of research techniques and methodologies (Essential