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approaches with synaptic physiology and animal behaviour. The laboratory benefits from solid funding and is involved in a dense network of local, national and international collaborations. The working language
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these unique datasets using advanced artificial intelligence methods to automatically analyze blood-flow velocity, vessel diameter, and the functional response of the retinal vascular network. The project
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to develop numerous collaborations and internships abroad, which will be an asset when it comes to obtaining a postdoc after the thesis. Experimental work in the laboratory will be a major part of this thesis
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candidate will join the SIGNAL team under the supervision of Dr. Yoan Coudert. Research topic : The recruited postdoc will investigate the genetic mechanisms underlying the pre-patterning and development at a
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French National Research Institute for Agriculture, Food and Environment (INRAE) | Toulouse, Midi Pyrenees | France | 22 days ago
Description The present PhD student position and associated research project is part of the 13 PhD projects of the VIVACE Doctoral Network, funded by the Marie Sklodowska-Curie action of the Horizon Europe
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Models (JSDM) will be used to predict community changes and species presence by the end of the century. Based on data on local and scientific knowledge, the recruited person will have to define four key
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4 fully funded PhD student positions in the computational, mathematical & experimental plant science
. More than 30 research groups study regulatory networks controlling fundamental traits such as reproductive development, organ geometry and growth, innate immunity and microbiome effects on plant performance
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criteria *The candidate will be entrusted with key responsibilities: The Postdoc will apply data-driven techniques like autoencoders to extract coherent structures from DNS data. Symbolic regression will be
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the SOFA framework to model the larva’s body dynamics. Create a mesh model of the larva with the main organs required for simulation and develop plugins to control muscle and body properties. Modelling
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enables high activity in olefin polymerization, while providing precise control over composition and molecular weight distribution. However, this activator remains a poorly defined solid at the structural