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experiments. The objective is to develop Bayesian causal models and neural networks capable of identifying relevant causal relationships between instrumental parameters and observed anomalies. The work will
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to real-world problems in sectors such as energy, mobility, or logistics. Understanding of the energy system and/or transport and logistics networks is a plus. Exposure to techno-economic modeling
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of the research carried out in the 6 CNRS-accredited laboratories on its campuses, the 2 international laboratories, the 6 international research networks and the 10 joint laboratories with companies. Its excellent
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of the research carried out in the 6 CNRS-accredited laboratories on its campuses, the 2 international laboratories, the 6 international research networks and the 10 joint laboratories with companies. Its excellent
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that couples high‑performance computing with instrumental platforms integrated in the UPPA‑Tech network. Five platforms are directly supported by IPREM: POLYCaTS (polymer analysis and characterisation
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international partners, building a robust network for your career. · Life in Paris & Beyond: Work on a vibrant campus just 20 km from the heart of Paris, enjoying the city’s cultural and scientific
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network of collaborators Other valued appreciated: autonomous, proactive, focused on the research program, deliver on time Languages: English Benefits package Subsidized meals Partial reimbursement
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. Metodi Metodiev (project PI) and will benefit from access to state-of-the-art technological platforms and our network of gene therapy experts.Main missions: •Histological (IF, activity assays) analysis
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Independent supervision of students and doctoral candidates Support in the further development of the Bachelor en Formation Pédagogique program and in the expansion of networks with stakeholders and partners
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streams. We work closely with a network of collaborators and public health agencies in France and abroad. A few studies illustrating our approach and the diversity of the questions we investigate: Using