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specific pedo-climatic environments (sensitiviy and scenario analysis). Your specific tasks: Developement of a multiscale modelling pipeline (anatomy and architecture) for the analysis of water and nutrient
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and scenario analysis). Your specific tasks: Developement of a multiscale modelling pipeline (anatomy and architecture) for the analysis of water and nutrient uptake Calibration of the model based
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Your Job: Developing efficient methods for lattice field theory problems Implementing these methods on highly-scalable supercomputer architectures Applying for and taking care of supercomputer
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Detail: Implementing a model of root architecture, AMF infection and hyphal growth through soil within the CPlantBox modelling framework Parameterization of this model based on experimental data Perform in
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efficient methods for lattice field theory problems Implementing these methods on highly-scalable supercomputer architectures Applying for and taking care of supercomputer resources Coaching of bachelor and
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-type architectures, to reverse engineer the types of objectives that might optimally lead to these representation. We then aim to understand whether the obtained objectives, applied in a layer-local
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: Master Degree and PhD in plant sciences, plant biology, plant physiology, agriculture or other related disciplines Solid background in whole plant eco-physiology, plant growth and / or plant architecture
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knowledge and experience in applied ML and AI Strong software engineering and programming skills Basic knowledge of the system architecture of supercomputers and NVidia GPUS Practical experience with ML/DL
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the 3D Discrete Anisotropic Radiative Transfer (DART) model to disentangle the functional (photosynthetic) and structural (architectural) contributions to forest canopy SIF derived from remote sensing