192 structural-engineering "https:" "https:" "https:" "https:" "Kiel University" "Kiel University" PhD positions in France
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transform the structure and function of the entire system. This approach will be implemented in soft mater systems, using artificial molecular motors to transduce various kinds of energy sources in mechanical
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City Montpellier Website http://www.umontpellier.fr/ Street 163 rue Auguste Broussonnet Postal Code 34000 E-Mail frederic.cuisinier@umontpellier.fr STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn
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, engineers) and 100 contractual staff (PhD students, postdoctoral researchers, engineers, and technicians). The institute also hosts dozens of interns and visiting scientists each year. IGE is spread across
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these conditions have long been studied from a purely structural or mechanical perspective, increasing evidence highlights the crucial role of systemic and environmental factors in disease progression. Among
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, France. Through its innovative engineering, pioneering scientific vision and a strong commitment from its 700 staff members, the ESRF is recognised as one of the top research facilities worldwide. Its
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, France. Through its innovative engineering, pioneering scientific vision and a strong commitment from its 700 staff members, the ESRF is recognised as one of the top research facilities worldwide. Its
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9 Feb 2026 Job Information Organisation/Company Ecole Centrale de Nantes Department Civil Engineering Research Field Engineering » Geological engineering Engineering » Civil engineering Engineering
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Research Framework Programme? Horizon Europe - ERC Is the Job related to staff position within a Research Infrastructure? No Offer Description The Machine Learning for Integrative Genomics team (https
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The expert will participate in the necessary methodological developments and analyses of airborne data recorded by the IAGOS research infrastructure (https://www.iagos.org ) and from other networks, to provide
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Starrydata2). The work will include the implementation of machine learning models (neural networks, random forests, SISSO), generative approaches for predicting crystal structures, the use of machine learning