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fields such as software engineering (e.g., ICSE, FSE), formal methods (e.g., CAV, TACAS, FM, ATVA), robotics (e.g., ICRA, IROS), AI (e.g., AAAI, IJCAI, ECAI) or machine learning (e.g., ICML, ICLR
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persons, of which two third are PhD students and about 10 seniors and postdocs. Our research activities are conducted toward five directions: (1) electrical machines; (2) PE converters; (3) energy storage
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Step into the nexus of bioinformatics and machine learning as a researcher focused on gene expression modelling for applications in generative synthetic biology. This role is not just another
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environment, and, preferably, previous experience in working with machine learning and/or artificial intelligence. Good presentation and communication skills in oral and written English are also required