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Luxembourg Institute of Science and Technology (LIST) | Luxembourg, | Luxembourg | about 2 months ago
, if applicable) · Contact details of 2 references Please apply ONLINE formally through the HR system. Applications by email will not be considered. Application procedure and conditions We kindly request
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taken Recommendation letters Early application is highly encouraged, as the applications will be processed upon reception. Candidates should apply ONLINE formally through the HR system by 31st of October
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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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: 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