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. COMPETE2030-FEDER-02230700, financed by the National Innovation Agency through Thematic Program for Innovation and Digital Transition (COMPETE 2030) of Portugal 2030, in accordance with the Research and
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in the design and development of the detector upgrade. The LPC is also a major hub for Machine Learning and AI developments for particle physics. There is close and frequent collaboration with
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
in complex engineer-to-order shipbuilding. Realizing the full potential of AI is both a technical and an integrative challenge. It requires combining what AI excels at, such as pattern recognition and
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. Designing and evaluating machine-learning models. Conducting quantitative research or statistical analysis. Working in multidisciplinary research environments. Preparing academic reports, technical
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6G and beyond. The project combines analytical modelling, system simulation, photonic integrated circuit design, machine learning, and experimental validation using state-of-the-art communication
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Electrical Engineering, Computer Engineering, Physics, or a related field with specialization in Radio Frequency (RF) systems, Electromagnetics, Signal Processing, or Spectrum Operations; Master’s degree in
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learning and computer systems. The successful candidate will join an international and collaborative research environment and contribute to advancing efficient AI systems. Are you motivated to take a step
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want to develop machine learning approaches that not only withstand adverse conditions but actively learn from their own failures – and can you back those systems with rigorous formal guarantees? We
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Infrastructure? No Offer Description Responsibilities The successful candidate will join a multidisciplinary research and innovation team, contributing to the development and application of advanced technologies
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of Computer Science, Norwegian University of Science and Technology (NTNU). The position offers the opportunity to work on cutting-edge research at the intersection of deep learning and computer systems. The successful