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development of AI and avoiding its misuse. These issues might be exacerbated by the lack of formal guarantees in explaining the behavior of AI systems in terms of human-interpretable, high-level concepts. While
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Wetsus - European centre of excellence for sustainable water technology | Netherlands | about 1 month ago
infrastructure by developing integrated, physics-informed data-driven methods that provide early insight into pipe failure risk. Research challenges Despite increasing data availability, there is still lack of
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the ERC Synergy DISRUPT project, which aims to fundamentally rethink PLL architectures and develop new circuit techniques that significantly improve spectral purity, robustness, and efficiency. The research
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of the observation receiver used to measure the transmitter output and extract distortion information. This position is part of the ERC Synergy DISRUPT project, which aims to develop new architectures for observing
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KNAW Early Career Award Behavioural Sciences, Social Sciences and Law Humanities More The KNAW Early Career Award encourages the further development of a diverse range of early career scientists and
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itself by the use of materials, orientation and type of buildings, or the influence of vegetation. Project description The candidate will focus on the urban environment and develop a model to predict the
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independently and enthusiastic about working in a dynamic, interdisciplinary, and international context. Motivated to develop your teaching skills and coach students. Fluent in spoken and written English (C1
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, entrepreneurship, high-growth firms, innovation strategy, scaling, strategic decision-making, strategic management, venture capital Topic Our PhD program seeks to train and guide the next generation of academics in
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PhD: responsible biomedical innovation and transition to animal-free research Faculty: Faculty of Geosciences Department: Department of Sustainable Development Hours per week: 32 to 40
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, to create a unified and reliable representation of structural integrity. The work expands on TU/e’s contributions by developing algorithmic components for detection and classification of defects and anomalies