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of cellular reprogramming by introducing scalable computational methods that streamline the discovery of reprogramming targets and control strategies. A key innovation of EdgeCR is its fine-grained control
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of de-anonymization, including researching current de-anonymization strategies Investigate synthetic data generation methods and their utility Deploying and benchmarking the above-mentioned methods
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Since 2006, the University of Luxembourg has invested in its own High-Performance Computing (HPC) facilities. A special focus was placed on developing large computing power combined with massive
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Since 2006, the University of Luxembourg has invested in its own High-Performance Computing (HPC) facilities. A special focus was placed on developing large computing power combined with massive
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methods for causal inference in observational data, is strongly preferred. Using various existing large datasets with rich information for knowledge synthetisation and triangulation over the course of the
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The successful candidate will join the Enzymology & Metabolism group, led by Prof. Carole Linster, which deciphers the cellular metabolism in rare and more common neurodegenerative or neurometabolic
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Successful candidate will join the Clinical and Translational Informatics, led by Dr. Venkata Satagopam, which focuses on bridging translational medicine and bioinformatics through innovative data
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spending time also in Cambridge and Lisbon. For further information please see the website of the ESMP group, www.lcsoftmatter.com , or contact Prof. Jan Lagerwall, jan.lagerwall@uni.lu
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, to support our activities within the NEUROH-CHANGE project (Resilience of Neurological Health in Global Change: A One Health Approach). NEUROH-CHANGE is an interdisciplinary research program aimed at enhancing
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dynamic organizational context of a growing, globally connected research university. The doctoral candidate will work with Assist. Prof. Potheini Vaiouli on topics related to the processes of learning and