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highly complex task, as sparse instrumentation does not guarantee direct sensing at all fatigue-critical locations of the substructure’s primary steel. Analytical solutions – so-called virtual sensing
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experience and enthusiasm for experimental work Basic knowledge of instrumental and preparative chromatography Fluent in written and spoken English Confident handling of common analytical software (e.g. Excel
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, Reliability and Trust (SnT) at the University of Luxembourg is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services. We play an instrumental role
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Senior Researcher in Synthetic Biology and Metabolic Engineering of power-to-X utilizing Microorg...
Biosustain) Recent progress in our ability to read and write genomic code, combined with advances in automation, analytics and data science, has fundamentally changed the scope and ambition of harnessing
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focuses on AI-driven fault diagnosis, predictive analytics, and embedded self-healing mechanisms, with applications in aerospace, robotics, smart energy, and industrial automation. Based
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the transformative power of real-world experiments, living labs and other experimental settings with new insights, instruments and increased capacities. This will enable change-makers – including researchers
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the following traits: Educational background: A master’s degree in computer science/artificial intelligence with a solid grounding in optical and spectroscopic instrumentation, such as hyperspectral, NIR, and
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skills in analytical chemistry, preferably mass spectrometry. Knowledge of instrumental residue analysis of (plant) toxins is preferred; you have excellent communication skills, both oral and written; a
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