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Experience with digital training environments, online learning platforms or learning management systems Experience contributing to European or other collaborative research, training or capacity-building
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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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collaboration with societal partners. Within the Sustainability Science and Transformation research group, we seek to address major contemporary social and ecological challenges through participatory
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collaboration with industrial and public-sector partners. We expect the candidate to publish in competitive machine learning, software engineering and security venues, such as Neurips, ICML, ICLR, ICSE, FSE, ASE
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collaboration with research institutes and Industrial partners around Europe. EnerTEF focus on establishing a Common Federated AI Testing and Experimentation Facility (TEF) for the energy field. Specifically, it
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Luxembourg Institute of Science and Technology (LIST) | Luxembourg, | Luxembourg | about 2 months ago
are curious, creative, and motivated to learn new skills and apply innovative approaches to solve scientific challenges. You communicate effectively in English, both orally and in writing, and maintain