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for real-time human data processing in interactive settings. Technical expertise in areas such as electrophysiological recording, VR paradigm design, closed-loop algorithm development, or clinical
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region of Portugal, although other tasks may be considered according to the profile of the recruited researcher. The researcher will be responsible for implementing spatial analysis algorithms, developing
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integration of a non-intrusive power consumption monitoring (NILM) technology into an existing industrial optimization system. More specifically, the missions consist of: Participate in algorithmic and
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environment (real testbed or emulation) to implement attack scenarios and measure their impact on service availability. You will design and validate real-time attack detection algorithms capable of meeting the
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-quality and high-impact research and for creating research networks supporting their careers. We welcome applications across all areas in Computer Science, including Algorithms and theory Bioinformatics and
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intelligence, big data frameworks, bioinformatics, data analysis, data science, discrete and machine learning algorithms, distributed, intelligent, and interactive systems, networks, security, and software and
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advanced machine learning models and physics-informed algorithms for analyzing high-speed XRD data, with a focus on identifying critical transformation windows and assessing phase evolution kinetics
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prediction under extreme conditions, resilient cybersecurity solutions, and self-healing algorithms. Candidates should demonstrate not only extensive experience in deep learning, reinforcement learning, and
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data simulation, clustering algorithms, benchmarking, model selection and evaluation workflows is an advantage Language requirement: Good oral and written communication skills in English English
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collaboration by proposing an original hybrid rule-driven/data driven approach to artificial intelligence and by studying efficient optimization algorithms. The team focus on robotic applications like environment