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-winning team of PhD and master’s researchers advancing the next generation of energy efficiency and intelligent systems for industrial applications. Based within the School of Engineering and Architecture
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]. 3. Explore the diversity of signals and perform complementary experiments to finalize the training dataset [Month 6 – 12]. 4. Develop a data analysis process based on machine learning for multimodal
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Research Group (IERG) The Intelligent Efficiency Research Group (IERG) at University College Cork is an award-winning team of PhD and master’s researchers advancing the next generation of energy efficiency
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of Machine Learning in Finance (3) Empirical Finance and Climate Finance We provide a rich and engaging research environment for the student. The PhD scholarship offers an attractive package including a tax
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. The Intelligent Efficiency Research Group (IERG) The Intelligent Efficiency Research Group (IERG) at University College Cork is an award-winning team of PhD and master’s researchers advancing the next generation of
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for the position ... Job Spec More-> Professor / Chair of Machine Learning, School of Computer Science & Information Technology Apply Job ID : 094933 Close Date : 14-Apr-2026 12:00 Permanent Whole-Time post
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Maynooth University, National University of Ireland Maynooth; | Maynooth, Leinster | Ireland | 2 months ago
, analog, mixed signal), IC verification, artificial intelligence & machine learning, signal processing, hardware programming languages and digital systems, computing and programming etc. The successful
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Programme Staff Discount Scheme Gym Access (reduced membership cost) On site Facilities: On site Car Parking On site dining facilities On site TFI Bike Sharing Station Eligibility criteria Essential: A PhD
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-fidelity finite element models to investigate surface wave propagation in soft biological tissues, forming the foundation for subsequent statistical and machine learning frameworks that integrate
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sectors such as advanced manufacturing, autonomous systems, human-machine interaction, or software development. Preferred Qualifications A PhD in a relevant field. Previous leadership roles in R&D centres