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projects that may involve concepts and priorities such as knowledge-graph-driven data integration, AI-powered literature review, agentic database search assistants, multi-omics analysis tools, life sciences
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to provide reliable predictions and support effective decision-making. The aim of the PhD project is to address these gaps by developing theoretical and computational tools that combine game theory, graph
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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 The PhD thesis will be funded within the framework
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, Create insightful graphs and other graphical tools to present outcomes back to farmers, Develop reporting for specific groups of farmers that are for instance in a specific supply chain or a learning
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and its applications, and is willing to learn new technologies. The candidate should have a PhD in Computer Science or a closely related field. Relevant background and skills include: Strong foundation
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Description This PhD position is part of the HSFood4ALL (Healthy and Sustainable Food for All) project. HSFood4All is an ambitious interdisciplinary research project that brings together expertise in
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Inria, the French national research institute for the digital sciences | Grenoble, Rhone Alpes | France | 2 months ago
supervision, including the mentorship of PhD students, postdocs, or research engineers, knowledge sharing within the consortium, and the dissemination of research results through high-impact scientific
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inflammation. We offer a competitive group leader salary and appointment for 5 years, funding for two PhD students, and running costs. Co-affiliation with Goethe University Frankfurt will be considered
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biology tasks Integrate learned policies with domain tools (RDKit, molecular graph ML, ELN/LIMS APIs, instrument drivers) so trained models execute real DMTA tasks Build the eval infrastructure: task suites
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Job Posting Title: Post Doctoral Scholar The Opportunity Lead and contribute research on multimodal data integration, ontology and knowledge graph building for energy domain. Supervise graduate and