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to ensure alignment with the broader ELLIS network. • Assistance in coordinating the activities of the Paris unit, including facilitating and promoting ELLIS-related events in the region. • Exploration
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on the metabolic and trophic variables of planktonic networks. The main activity will be the analysis of in situ data collected during these projects, the estimations of the above-mentioned variables by linking them
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approaches, from biochemistry to single-molecule biophysics, molecular and cell biology, and transcriptomic analyses. The group benefits from strong collaborative networks, including with structural biologists
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. These include youth surveys, an examination of local governance mechanisms, the provision of local infrastructure, and the organisation of actors and networks. The aim is to identify the defining characteristics
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of GEO-TREES (https://geo-trees.org ), a highly collaborative international and interdisciplinary network. Active collaborations with partner institutions in Central Africa will be encouraged, as
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Chetoui, D Ambard, P Canadas, P Kouyoumdjian, P Royer, and S Le Floc’h. Impact of extracellular matrix and collagen network properties on the cervical intervertebral disc responseto physiological loads : A
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research career as part of this prestigious international research project. They will benefit from the support of the project's PI, collaborators, and network to develop her/his academic skills and career
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opportunity to advance her/his own research career as part of this prestigious international research project. They will benefit from the support of the project's PI, collaborators, and network to develop her
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establish contacts within a network of actors that can sometimes be difficult to access. The successful candidate will be expected to organise a collective working session with actors in the field of Muslim
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Jean-François Ouimette (Institut Curie, Paris), Daan Noordermeer (I2BC, Saclay), and Elisa Bergamin (IGBMC, Strasbourg). The successful applicant will join a dynamic research group within a network of