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of relevant experience. Must have extensive expertise in computational modeling, including strong coding skills in Python. Strong statistical and mathematics background. Preferred Qualifications Merkin Bridge
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) to train shared models without centralising raw data. In practice, however, individual platforms operate under diverse environmental conditions, sensor calibrations, and system configurations
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of neural networks, for reconstructing MR images directly from MR signals. By incorporating a physical model of the MR signal into the training of the INR network, we aim to compensate for the effects
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therapies against glioblastoma. The PhD project will be conducted within the framework of the project Glioblastoma Blood-Brain Barrier Integrated Model for T-Cell Therapies (GBBRAIN-T). This fellowship is
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1 Aug 2026 Job Information Organisation/Company CNRS Department Centre de biologie structurale Research Field Mathematics History » History of science Researcher Profile First Stage Researcher (R1
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 3 months ago
all their advantages observed and demonstrated in the litterature, developing these robots comes with challenges such as the presence of singularities and elastic stability deficiency, models with high
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of AI models for the design and optimisation of integrated energy systems in public buildings. They will analyse heterogeneous datasets, create realistic what-if scenario analyses, and develop trustworthy
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twins of construction sites and information management Mathematical models for infrastructure impact and infrastructure economics Eligibility You must meet at least one of the following: Bachelor's degree
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to investigate the potential of using Implicit Neural Representation (INR), a class of neural networks, for reconstructing MR images directly from MR signals. By incorporating a physical model of the
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Impact – From climate modelling and sustainable energy to advanced materials and biomedical systems, HetSys projects apply cutting‑edge computational and mathematical techniques to problems with global