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Biochemistry, Molecular/Cell Biology, and/or BioEngineering documented by peer-reviewed publications Skills in a broad range of methods in the fields of Biochemistry, Molecular/Cell Biology, and/or
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potential lends itself to this. Required profile: · With a PhD in physics or mechanical engineering, the successful candidate will have acquired solid skills in the mathematical and numerical methods
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super-resolution methods, including live-cell imaging Supporting daily laboratory operations, such as maintaining inventories, ordering supplies, organizing samples, and general laboratory upkeep Your
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qualitative and quantitative methods to investigate youth development and social inequalities. The Centre maintains close collaborations with national and international research institutes and organisations
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, particularly in the context of wave equations. Proficiency in numerical implementation and computational methods will be appreciated. Candidates with a PhD in semiclassical analysis who are keenly interested in
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to the development of digital and face-to-face methods for public involvement, by shaping the theories, methodologies, and tools that underpin participatory knowledge production in human services. Active in research
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policies. The University of Luxembourg aims to play a key role in this public-facing co-productive knowledge landscape. This position will contribute to the development of digital and face-to-face methods
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-resolution imaging methods is a strong advantage Strong computational and organizational skills, with attention to detail, particularly in experimental planning, documentation and sample management A high
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Enthusiasm for applying advanced data science methods including AI-based approaches to environmental challenges and scientific evidence synthesis Technical Skills: Extensive experience in managing and
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-of-the-art in silico protein structure prediction methods and in vitro screening approaches will be used to systematically elucidate the amyloidogenic potential of the gut metaproteome. Specifically, gene