68 structural-engineering-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dip" positions at Nature Careers in France
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will be liaising regularly with government ministries, hospital administrators, IT and information security experts, leaders in the local innovation space, and quantum technology researchers in
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About the FSTM The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Faculty of Science, Technology and Medicine
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with: Genuine interest in Finance, Economics or Statistics/Econometrics Strong quantitative and computational skills Candidates with a degree in Mathematics, Physics, Computer Science, Engineering or
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About the FSTM The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Faculty of Science, Technology and Medicine
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for embedded and GPU platforms. Collaborate with ARSPECTRA engineers and surgeons to create a complete AR guidance pipeline : tracking, SLAM, gaze, user interface Your profile PhD in machine learning
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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techniques, as confocal microscopes, are widely used in biology for cellular and sub-cellular structures investigation. However, their spatial resolution is limited by the light diffraction phenomena and it is
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implementing innovative projects with their students that work towards key civic competencies as elaborated by the Council of Europe (2016) and structured around UNESCO's three dimensions for GCE - cognitive
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About us The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Faculty of Science, Technology and Medicine (FSTM
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techniques and the structure of bilevel problems in large-scale settings. Objectives The goal of this postdoctoral project is to develop scalable blackbox optimization algorithms tailored to bilevel problems