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both theoretical challenges and practical applications. Key Responsibilities: Develop innovative methods and tools for adaptive, AI-driven embedded algorithms to support real-time analytics and decision
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systems. The position offers an exciting opportunity to engage in cutting-edge research that addresses both theoretical challenges and practical applications. Key Responsibilities: Develop innovative
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of Science, Technology and Medicine (FSTM) at the University of Luxembourg plays a leading role in developing AI training programmes, coordinating talent development activities, and supporting outreach and
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The Medical Team of the faculty is in a constant development. Our research initiative, in collaboration with clinical partners, is thriving as we explore the effects of fasting and caloric
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. For further information, you may check: wwwen.uni.lu/snt/research/spacer and www.spacer.lu The candidate will lead the development of a V&V framework for AI-augmented perception systems and will be responsible
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Science, Life Sciences and Medicine. Through its dual mission of teaching and research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better
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to engage in scientific activities both in Luxembourg and abroad, including seminars, summer schools, conferences, and more. The postdoctoral fellow will be working on developing multi-scale and multi-modal
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proteomics enables the simultaneous quantification of large cytokine panels, offering high multiplexing at reduced variability and cost. In this project, we aim to develop a novel, antibody-free measurement
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for success, and determine developmental needs as well as potentials for innovation. The findings will contribute to the further development of youth-oriented local infrastructures, provide policy-makers and
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will carry out research activities and support the PhD students working on this project. This includes conducting literature surveys and establishing state-of-the-art; developing necessary experimental