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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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revisit discretization methodologies in view of modern requirements and computational capabilities. The candidate will focus on developing mesh generation algorithms meeting the following criteria
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excellence. Candidates should propose an innovative research program that fits within the global themes of the IGMM and addresses a fundamental biological question. Such a project can be positioned
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pool of leukemic cells in sanctuary lymphoid organs leading to transformation in high-grade lymphomas. 3) the elaboration of computational prediction tools of progression and new preclinical models
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stimulation), and O. Marre (neural coding and computational modelling in the retina).
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Biology, or a related field. Strong experience in bioinformatics and next-generation sequencing (NGS) analysis in a Cloud computing environment is essential. Proficiency in Linux/Unix and scripting
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advances in machine learning and data-intensive approaches facilitate the search for better or even global minima via evolutionary computations or reinforcement learning. Objectives. The main scientific
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p x∈R y∈Rp where F is the outer objective and f is the inner objective. Solving such problems is challenging due to the need to compute gradients through
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COMMUNICATION AND PUBLIC ENGAGEMENT Active scientific mediation with the general public on viral pandemics will be a core mission from the beginning. This will leverage: • SUNSET program (Sciences with and for
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, Magnenat-Thalmann N, Delingette H.3D Reconstruction of Anatomical Structures of the Lower Limbs.In: ORASIS 2009 – Conference of Young Researchers in Computer Vision; 2009 Oct 12–16; Trégastel