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methods with the ability to implement and evaluate machine-learning systems at scale. Candidates may come from topological data analysis, geometric deep learning, network science, statistical physics
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Technologies. The researchers will develop intelligent agents that collaborate, verify recommendations and learn from experience to improve wireless network energy efficiency. The research combines large
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checks with advanced machine learning architectures, specifically Long Short-Term Memory (LSTM) networks and Variational Autoencoders (VAEs). The researcher will use historical QC archives dating back
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Dignity and Respect Policy and learn more about our EDI related initiatives. Appointment may be made on the IUA PD2 Salary Scale: €55,399-€60,250 p.a. Salary placement on appointment will be in accordance
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candidates will have experience in artificial intelligence, deep learning or decision support applied to RF sensing, wireless communications and signal processing. A strong background in multimodal data
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learning or decision support applied to RF sensing, wireless communications and signal processing. A strong background in multimodal data analysis is expected, complemented by strong capacity for teamwork
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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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who is open to learning new skills and working with an interdisciplinary team. Faculty of Education & Health Sciences Department of Psychology Contract Type: Specific Purpose Salary Scale: €34,129
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validating uncertainty-aware AI models for real-time crash risk prediction with guaranteed confidence bounds, interpretability, and fairness-by-design, using a blend of centralized and federated learning
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to promote equality, prevent discrimination and protect the human rights of each individual in line with equality legislation. We encourage applicants to consult our Dignity and Respect Policy and learn more