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) 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 of teaching and
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) 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 of teaching and
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Supervisors and location • Supervisor: Christophe Eloy, IRPHE, Marseille • Co-supervisor: Médéric Argentina, INPHYNI, Nice • Laboratory: IRPHE, Centrale Méditerranée, Marseille Project Unicellular organisms routinely display efficient and adaptive behaviors despite the absence of any nervous...
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) 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 of teaching and
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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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experimental beamlines. In 2020, the ESRF resumed operation after a major upgrade programme and is now exploiting the Extremely Brilliant Source (EBS), a new and revolutionary low-emittance storage ring with X
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The candidate should preferably have a PhD in Computer Science or Robotics with a solid background on deep learning and 3D scene understanding. Experience with LiDAR and Computer Vision is a plus. The candidate
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establishments (Université Côte d'Azur, CNRS, INRAE, INSERM ...), but also with the regiona economic players. With a presence in the fields of computational neuroscience and biology, data science and modeling
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About us The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Luxembourg Centre for Socio-Environmental Systems strives to grow into an internationally recognised research hub for a sustainable and equitable...
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the exact calculation of the square-root and inverse square-root of the source distribution covariance matrix. This approach offers analytical and computational advantages in comparison to existing methods