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. - Have career prospects with over 60 job families, training courses... - Our benefits: RTT (reduced working hours), a network of bus routes at certain centers (free of charge), collective catering, CSE
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Description The postdoctoral researcher will join the "Network Dynamics & Computations" team led by Srdjan Ostojic and develop research projects on modeling neural circuits and their role in behavior. The work
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, forces produced within single cells are transmitted through adhesive cell-cell contacts to drive multicellular tissue morphogenesis. The protein networks that govern contraction and adhesion
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research environment with advanced training opportunities, embedded in a networked research community at the interface of chemistry, physics, and astronomy Werequire: PhD in Physical Chemistry, Physics, or a
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Ecole supérieure de physique et de chimie industrielles de la ville de Paris | Paris 15, le de France | France | about 2 months ago
. Therefore, RNA is a highly promising model to build an artificial reactions networks capable of evolution. However, a system made of RNA and capable of evolution remains to be discovered. The project aims
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equipped with evolving, plastic neural networks models, which process visual information and drive motor action. These virtual agents will navigate in virtual reconstructions of ants' natural environment, so
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multilayer networks. Nature Communications 10(1):3969 Barral J, Jülicher F, and Martin P (2018). Friction from transduction channels’ gating affects spontaneous hair-bundle oscillations. Biophysical Journal
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computer vision. The dominant approach is based on deep neural networks applied to RGB images. These models have disadvantages such as: a) the need of large quantities of annotated data, which requires
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. The institute comprises 11 teams (120 staff including 48 researchers) and features state-of-the-art imaging, electrophysiology, and behavioral facilities. The "Neural Network Physiology" team studies information
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experience in at least one of the following topics: deep learning, reinforcement learning, probabilistic modeling, statistical learning, neural networks, or other related fields Interest in interdisciplinary