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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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-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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Technological University of the Shannon: Midlands Midwest | Athlone Springs, Connaught | Ireland | 2 days ago
record eXtended Reality, Multisensory Multimedia and Quality of Experience within the Faculty of Engineering & Informatics in the midland’s campus. The team now includes more than 20 MSc/PhD students in
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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
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) and machine learning for liquid biopsy samples (CTCs, ctDNA and EVs) for cancer diagnosis, prognosis and prediction of treatment outcome. The candidate will work in an interdisciplinary team of physical
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renewable generation into dairy farming, by combining it with recent technological developments in the energy sector. This project will investigate a range of topics relating to AI (deep learning
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Programme? Not funded by an EU programme Reference Number PHD GSO 007-24 Is the Job related to staff position within a Research Infrastructure? No Offer Description Application(s) are invited from suitably
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epidemiology, machine learning, and wet-lab exposure. A tax-free stipend of €25,000 per year is available, and PhD fees are also covered. The research project will also provide adequate funding for equipment
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working with datasets and conducting data analytics, statistics, using machine learning techniques and/or nonlinear dynamic measures (e.g. entropy, recurrence quantification analysis, etc.).A solid
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Programme? Not funded by an EU programme Reference Number PHD GSO 005-24 Is the Job related to staff position within a Research Infrastructure? No Offer Description Application(s) are invited from suitably