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communications, network security, and advanced data-driven methods. This is a unique opportunity to contribute to pioneering research that tackles one of today’s most pressing challenges: how to design resilient
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automata, and the mathematical and computational foundations of neural networks. Familiarity with the following areas is meritorious: machine learning, computational complexity, tree automata and tree
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and patient stratification. The laboratory is supported by prestigious national and international grants, including an ERC Synergy Grant, and is embedded in an active network of collaborations with
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northern Sweden create enormous opportunities and complex challenges. For Umeå University, conducting research about – and in the middle of – a society in transition is key. We also take pride in delivering
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, and the mathematical and computational foundations of neural networks. Familiarity with the following areas is meritorious: machine learning, computational complexity, tree automata and tree
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experimental validations. Training an AI agent using both generated data and engineers’ evaluations of design trials. Deploying the trained model in increasingly complex representative environments
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generated data and engineers’ evaluations of design trials. Deploying the trained model in increasingly complex representative environments for generative design activities. You will collaborate closely with
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northern Sweden create enormous opportunities and complex challenges. For Umeå University, conducting research about – and in the middle of – a society in transition is key. We also take pride in delivering
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biomedicine. Read more about the Department here Project description This project is part of the EU-funded Print4Life , a Marie Sklodowska-Curie (MSCA) doctoral network led by Prof. Persson, group leader
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wireless sensor networks as well as research and education within Life Science, smart electronic sensors and medical systems. The Department of Electrical Engineering is an international workplace with