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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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quantitative, experimental, and computational approaches, leveraging powerful machine learning algorithms and extensive characterisation techniques. This research project will be carried out at University
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undertaken through a stakeholder-driven Analytic Hierarchical Process or similar. New MOSAIC-generated megafaunal distribution data will be showcased in the mode with its impact qualified. Liaison with
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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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experimental, analytical, organisational and communication skills and the ability to work both independently and collaboratively within a multidisciplinary research environment. UCC is an accredited research
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to have experience in one or more of the following areas, such as: wireless networks/communications, machine learning/vision, intelligent transportation systems, intelligent sensing/localization, or signal
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/communications, machine learning/vision, intelligent transportation systems, intelligent sensing/localization, or signal processing. In line with our Athena SWAN ambitions we especially encourage women to apply
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conducted in accordance with Directive 2010/63/EU and S.I. No. 543 of 2012. The role requires excellent experimental, analytical, organisational and communication skills and the ability to work both
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2010/63/EU and S.I. No. 543 of 2012. The role requires excellent organisational, analytical and communication skills, along with the ability to work both independently and collaboratively within a