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in project meetings on site with our European partner organisations. Your qualities You hold a PhD in environmental sciences, ecology, geography, spatial planning, or a related discipline. You have
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impairment capturable with digital interfaces. Experience with agentic large language models. Experience in artificial intelligence to develop the algorithms for digital twins. Experience with both qualitative
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you passionate about deep learning, generative AI, agents? We
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assessment of lymphatic flow, 2) Advancing methods for contrast-enhanced MRL, 3) Creating ideal contrast agents for MRL, and 4) generating phantom and animal models for MRL optimization and validation
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Paris, is one of France's top 5 general engineering schools. The mainspring of Télécom Paris is to train, imagine and undertake to design digital models, technologies and solutions for a society and
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affect bacteria-based factories cause millions of dollars in losses. Here, we propose the strategy to obtain antiphagents (antibacteriophage agents) that will be safe for bacteria and eukaryotic cells
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of knowledge. The analysed results will be used to build the agent-based simulator currently being developed by a PhD student. You will also be involved in meetings with stakeholders (elected officials, Grenoble
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learning Foundation models, including large language models Agentic AI Multi-agent AI systems Transfer learning Self-supervised learning Federated learning The Postdoctoral Researcher will be primarily based
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. However, there are many knowledge gaps in relation to the use of microbial biocontrol agents (BCAs) for the control of plant diseases. We are interested in whether plant pathogens can evolve resistance
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novel machine learning models—including Physics-Informed Neural Networks (PINNs), variational autoencoders, and geometric deep learning—to fuse multimodal data from diverse experimental probes like Bragg