33 structural-engineering "https:" "https:" "https:" "https:" "https:" "https:" "Multiple" "U.S" uni jobs at Nature Careers in France
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). It is located in Toulouse, southwest France, on the main Campus of the University of Toulouse, offering a multidisciplinary education in the fields of science, health, engineering, and technology
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Keywords: theoretical biophysics, machine learning, kinematics, (structural) biology. Context. Machine learning techniques have made significant progress in prediction of favourable structures from
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Interest in contributing to interdisciplinary research Capacity to mentor young researchers and structure emerging research initiatives Leadership and management experience, including the ability
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sustainability transitions Proficiency in qualitative research methods, e.g. semi-structured interviews, focus groups, stakeholder mapping Strong teamwork skills, scientific curiosity and a high level of intrinsic
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skills We are looking for a candidate with a PhD in physics, mechanical engineering, or applied mathematics. We expect a strong background in dynamical systems, reinforcement learning, and optimization
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technology and in the field of monitoring is also required. Therefore, information on relevant experience must be included in your application. Relevant experience in leading scientific working groups and
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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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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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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 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