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within a coherent computational model is currently challenging, due to the typical large dimension and complexity of biomedical data, and the relative low sample size available in typical clinical studies
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minimizing error and maximizing efficiency, is computationally challenging—no known polynomial-time algorithm exists to solve it optimally in all cases. Because of this complexity, researchers typically rely
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The IT Project Manager plays a key role in driving digital initiatives within the Department of Medical Informatics (DMI) at the Luxembourg Institute of Health. Operating under the IT Strategy
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has a wide range of applications in domains focused on monitoring and securing complex systems, including mobility, manufacturing, communication, economics, and environmental science. These domains
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proteomic analyses often obscure the intricate cellular and molecular variations within this complex environment. Single-cell proteomics (SCP) offers a novel approach to dissect this heterogeneity by
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learning and AI, stochastic modeling and programing or applied mathematics (Laboratoire J.-A. Dieudonné ) and in Computer Science (I3S & Inria ), with expertise in complex data representation and processing
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the work with increasing levels of complexity, especially the electronic design, PCB manufacturing (outsourced) and tests. You will also support the institute by communicating effectively about your results
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Informatics, in press. [MEO18] M. Meo, T. Pambrun, N. Derval, C. Dumas-Pomier, S. Puyo et al., “Noninvasive assessment of atrial fibrillation complexity in relation to ablation characteristics and outcome
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on stochastic Riemannian optimization algorithms, these methods still suffer from limitations in computational complexity. The post-doctoral fellow will build upon this preliminary work to investigate
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research work will be to devise efficient algorithms for source separation in DAS measurements. Issues such as large data volumes that can exceed 1 To per day and per fiber, instrument noise, complex nature