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candidate with: A PhD degree in Computer Science or a closely related field A research track record in Artificial Intelligence, with an emphasis on machine learning and an openness to interdisciplinary
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infrastructures. You will contribute to research projects enabling secure, interoperable, and scalable use of clinical data for AI and machine learning applications in complex diseases such as Cancer, Alzheimer's
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development activities at the intersection of Generative AI, Multimodal Machine Learning, Trustworthy AI, and physics informed learning. The group is developing novel methods, tools, and platforms to support
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experience in several of the following topics (ordered by importance): Large language models and LLM-based agents Human-AI interaction, human-computer interaction and human factors Reinforcement learning and
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providing industry actors with practical evaluation tools, such as technical testing platforms for AI. Your profile PhD in Computer Science, with a thesis related to machine learning, software engineering
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Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services & Applications. Your role The PhD student will contribute to a large industrial research collaboration with a major
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talks, workshop organisation, and commitment to open, collaborative science Experience with tools for qualitative and quantitative analysis; experience and practice with machine learning and Artificial
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8 Jul 2026 Job Information Organisation/Company Luxembourg Institute of Science and Technology Research Field Environmental science Researcher Profile First Stage Researcher (R1) Positions PhD
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Experience and skills · 1-2 years of post-PhD research and engineering experience · Excellent knowledge in information security, particularly in machine learning for cybersecurity
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of future wireless communication systems. Finally, due to the large-scale nature, complexity, and heterogeneity of 6G networks, we use tools such as artificial intelligence/machine learning, quantum computing