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: graph neural networks, natural language processing, algorithmic learning, fault-tolerance, blockchains, consensus, cryptocurrencies, digital money, central bank digital currency, decentralized finance
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,3 ,4 ,5 ). The group has worked on a large variety of viral and bacterial pathogens of humans and animals and uses mostly E.coli, bacteriophages and plasmids to study epidemiological and evolutionary
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) or neural network-based methods. The level of the targeted problems will require further mathematical and algorithmic developments over the current state of data-driven SSM reduction. The PhD position will
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using learning-based algorithms Development of a simulation framework for stressor analysis and traffic equilibrium modeling Integration of predictive analytics and multi-agent reinforcement learning
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approaches to study biological or biomedical data with a particular focus on imaging data so as to welcome evolutionary analysis of large-scale molecular or imaging data using statistical and computational
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algorithms and AI-based solutions for data processing and validation, and provides scientific expertise for the implementation of future remote sensing missions. The team’s work bridges earth observation with
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based on the extracted image data. Job description Develop and apply state-of-the-art algorithms for image segmentation, feature extraction, and quantitative analysis Combine classical image processing
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. The project aims to investigate generative design algorithms to automate the design process of electromagnetic induction components by using AM technologies and combine it with advanced computational tools. A
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for monitoring people’s health. You will focus on developing new solutions, electronics, algorithms and methods to assist individuals, physicians and sports coaches to effortlessly and continuously monitor health