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Field
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when manipulated content is used to incite hostility toward marginalized groups. While large language models (LLMs) offer potential for fact-checking and counterspeech, current systems often struggle
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. The candidate will design and analyse an energy consumption model for modern cellular base stations that accounts for contribution of multiple components and functions, such as idle static power, MIMO operation
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on the basis of the following criteria: Technical competencies Strong ability to design and optimize integrated optic devices, model their optical, optoelectronic, thermal-optical properties using commercial and
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sensitivity, on resistance evolution. As model pathogen, we will focus on UTI E. coli and/or lung-infecting Pseudomonas aeruginosa. As a general reference, check out the group’s publications on AMR evolution
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mechanisms that integrate queueing theory, traffic modelling, machine learning, and network-performance prediction for improving latency, reliability and fairness to support mission‑critical services
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of Electronics-ICT at the Faculty of Applied Engineering are looking for a full-time (100%) doctoral scholarship holder in the field of Machine Learning and Systems Modelling for Advanced Air–Liquid Interface Cell
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Technologies (Ireland); and a network-wide training program. Responsibilities and qualifications The PhD scholarship is on the topic of “Carbon-Aware Neural Architecture Search (NAS)”. Most AI models are built
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of the research process and the results obtained. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: - Co-develop the requirements for optimization models, taking into account solar assets, EV chargers, and
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; • Implementation, configuration and testing of frameworks and tools in remanufacturing testbed use cases, including their integration with simulation models and Digital Twins; • Contributing to the development
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the lifecycle of AI systems, from data preparation to model use, monitoring, and updating, should be aligned with human activities, organisational processes, and decision-making in industrial contexts