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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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/Qualifications - Automation or applied mathematics background, with a strong interest in physical models and numerical method - Analysis of partial differential equations, variational approach, Bayesian estimation
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flexibility in shaping complex geometries. These three latter leverage DIW to deposit material within a gel-based reusable support medium to enable the fabrication of support-free 3D/4D structures. This process
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their fundamental principles and limitations. It will also include the development of simplified models describing optomechanical coupling, intended to guide the optimization of the waveguide geometry. These models
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interdisciplinary research unit of Université Paris Cité, located on the Paris Rive Gauche campus. The PhD candidate will join the “Epigenetic Dynamics & Cellular Differentiation” team, led by Dr. Slimane Ait-Si-Ali
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and at the clearance level - To define sizing criteria - To optimize the piston ring geometry (axial/radial dimensions; sealing clearance, surface finish, materials, etc.) for different application
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and Seidel in the early 2000s, inspired by symplectic geometry. This PhD project is part of a broader research program aiming to use categorical tools to derive geometric results about the
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defects induced by the connection of two crystal lattices of different geometry and orientation. We will then study the interaction of these defects with hydrogen, and their impact on hydrogen diffusion
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function and differentiation. Through a fully automated high-throughput screening platform, we have identified novel metabolic targets that appear critical for anti-tumor immunity. One PhD project will
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while considering the structural configuration (geometry) of the mapping catheter by means of graph signal processing (GSP). The underlying hypothesis is that local propagation patterns in AF