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and machine learning. Topics of interest in this area include, but are not limited to: natural language processing, large language models, graph learning, prompt engineering, knowledge graphs, knowledge
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researcher will work at the interface of root developmental biology, 3D modeling, network and graph theory, and data analysis, in close interaction with biologists, modelers, and computer scientists (INRAE
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molecular simulations, and cutting-edge AI techniques including graph neural networks (GNNs) and large language models (LLMs) to accelerate experimental design and discovery of novel materials. The research
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This is a post-doctoral position in geometric graph
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operations research skills (optimization, graph theory, logistic models). 4. Language: Fluent (oral and written) English skills. ***APPLICATION 1.Deadline: 15th April 2026 All details here: https
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conclude on December 31st 2029. The goal of this research effort is to apply machine learning (ML) techniques, in particular (equivariant) graph neural networks to accelerate the creation of all physical
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work, studying in disciplines ranging from atomic physics and graph theory to medieval literature and blind rehabilitation. Of 101 graduate offerings available, 30 lead to a doctoral degree. Connections
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. Responsibilities will include assisting with the lab's data and research pipeline by collecting and cleaning data, performing data management and analysis, creating graphs and figures, visualizing data, assisting
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will be made for all categories of stakeholders to support the process of job matching. Where to apply Website https://resurseumane.ase.ro/pnrr-cf_178-jobkg-a-knowledge-graph-of-the-romanian
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will be made for all categories of stakeholders to support the process of job matching. Where to apply Website https://resurseumane.ase.ro/pnrr-cf_178-jobkg-a-knowledge-graph-of-the-romanian