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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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methods (e.g., PCA, PLS-DA, clustering, neural networks) to enable automated, polymer-specific classification. Optimize workflows for high-throughput imaging and real-world sample variability, minimizing
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in molecular diffusion rates rather than equilibrium adsorption, using a novel temperature-perturbation method in a MOF layer. For a pre-print paper describing this novel (and patented) approach, see
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urban site with excellent infrastructure A partner for society and industry. Cooperation with European institutions, innovative companies, the Financial Centre and with numerous non-academic partners
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and industry. Cooperation with European institutions, innovative companies, the Financial Centre and with numerous non-academic partners such as ministries, local governments, associations, NGOs … How
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Centre and with numerous non-academic partners such as ministries, local governments, associations, NGOs … How to apply Applications should be addressed to Professor Katalin Ligeti / Dean of the Faculty
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will establish your own team and research program in molecular epidemiology. You will focus on population research aimed at better identifying risk factors for chronic diseases to support preventive
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students who are eager to develop and apply artificial intelligence techniques and mechanistic mathematical models to explore fundamental questions in biology. The PhD program is organized in partnership
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to develop a research program around the study of fundamental properties of microbes, microbial biomolecules and on translating insights from these systems into practical applications. The research should