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Vector Network Analyzer (VNA) measurements. • Good knowledge of dielectric materials and their frequency-dependent properties. • Experience with vacuum instrumentation or controlled environmental testing
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, information and communication sciences, anthropology, history, and geography. This teamwork will be carried out within the framework of INRAE's national viability network. The successful candidate will benefit
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-interaction networks associated with the centrosome and primary cilium, with particular emphasis on the molecular mechanisms linking protein disorder, multivalency, cellular organization, and human disease
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Tremblay en France, le de France | France | about 2 months ago
working language at the ESRF Our offer # A vibrant research community in an open, diverse and international work environment # Scientific excellence and extensive professional networking opportunities
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experimental biology, with opportunities for training in wet-lab techniques if desired. An extensive network of international collaborators that can help you expand your professional contacts. 📓Qualifications
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at weekly seminars featuring leading experts in the field, providing opportunities to network and learn from the best in the field. - Opportunities to present at major international conferences, giving
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religious communities, including diasporic networks, new religious movements, yoga, and the internet. Using an interdisciplinary approach that includes Indology, anthropology, sound studies, media studies
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network that allow different sound dimensions to propagate along the auditory pathway. Frequency representation, or tonotopy, is present as early as the peripheral level, and the relationship between neuron
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of dialogue between researchers, professionals, and relevant individuals and groups - Ability to facilitate networks and seminars - Good writing skills (French / English) LanguagesENGLISHLevelExcellent
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(2023). 8. Meyniel, F. & Dehaene, S. Brain networks for confidence weighting and hierarchical inference during probabilistic learning. Proc. Natl. Acad. Sci. 201615773 (2017) doi:10.1073/pnas.1615773114