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spectroscopy. It is expected that the researcher will co-supervise a starting PhD student on the same project. The project will require a diverse set of interdisciplinary skills in live 3D microscopy, organoids
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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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institutions, Luxembourg's leading international financial centre and its vibrant business community. Institutional and private sector partnerships, sponsored Chairs and a growing network of international
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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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knowledge of one or all of the following: Measurement theory Quantum optics Quantum dynamics Stochastic processes Your profile Strong analytical and numerical skills High-quality PhD in Theoretical Physics
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engineeringEducation LevelPhD or equivalent Skills/Qualifications •PhD in physics, materials science, nanotechnology, or a related discipline •Strong background in low-temperature physics, transport measurements, 2D
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for the design of synthetic promoters and data analysis. PhD in (Plant) Biotechnology, Molecular Biology, Biochemistry or equivalent A publication record in peer-reviewed journals, and excellent proficiency in
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experiments. to apply for a postdoctoral fellowship at the FWO post-doc call of December 2025 (see below). Profile You hold a PhD in biology, environmental sciences, or a related area, and you should be
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including experts in epigenetics, computational biology, and embryo modeling. Undergo postdoctoral training and career development (publishing, funding, leadership, networking, job search). PhD in Life
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driving context-specific expression. You will work very closely together with your wet-lab colleagues for the design and follow-up of experimental validations. PhD (or MSc with research experience) in AI