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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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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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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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, 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 about our EDI
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encourage applicants to consult our Dignity and Respect Policy and learn more about our EDI related initiatives Salary: €47,273 - €53,925 p.a (IUA PD1 Research Salary Scale) Salary placement on appointment
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legislation. We encourage applicants to consult our Dignity and Respect Policy and learn more about our EDI related initiatives Salary: **50% of **€34,129 - €44,311 p.a (IUA RA Salary Scale) Salary placement
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line with equality legislation. We encourage applicants to consult our Dignity and Respect Policy and learn more about our EDI related initiatives Salary:€47,273 - €53,925 P.A. (IUA PD1 Salary Scale
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the human rights of each individual in line with equality legislation. We encourage applicants to consult our Dignity and Respect Policy and learn more about our EDI related initiatives Salary: 50% of €34,129
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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 about our