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co-design processes Develop partnerships with policy makers, practitioners and civil society organisations Contribute to the development of creative project outputs Your profile PhD in environmental
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courses taken List of publications The name and contact details of at least two referees Early application is highly encouraged, as the applications will be processed upon reception. Please apply ONLINE
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: https://www.uni.lu/snt-en/research-groups/finatrax/join-us/ Your role The successful candidate will be enrolled in the PhD program in Computer Science and Computer Engineering with a specialisation in
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: https://www.uni.lu/snt-en/research-groups/finatrax/join-us/ Your role The successful person will be enrolled in the PhD program in Computer Science and Computer Engineering with a specialisation in
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in complex operation environments Working with rapid prototyping tools (dSPACE) to recreate charging profiles and communication protocols of electrical vehicles Working with IoT, meters, controllers
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application is highly encouraged, as the applications will be processed upon reception. Please apply ONLINE formally through the HR system. Applications by Email will not be considered. All qualified
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Engineering, Data Science, Electrical Engineering, Applied Mathematics, or a closely related field A strong interest in machine learning, AI, security, reliability, and the latest technologies Strong
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Engineering, Data Science, Electrical Engineering, Applied Mathematics, or a closely related field A strong interest in machine learning, AI, security, reliability, and the latest technologies Strong
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deployment of AI systems in real-world environments. Current research activities focus on topics such as: AI agents and computer-use agents Security, robustness, and trustworthiness of AI systems Evaluation
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defense date Degree certificates and transcripts of university-level courses, including grades 2 recommendation letters Early application is highly encouraged, as the applications will be processed upon