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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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, 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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tend to hallucinate facts. By contrast, other AI technologies, such as knowledge graphs and formal reasoning engines, are able to reason reliably, but are less good at handling ambiguity. This PhD
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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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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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Inria, the French national research institute for the digital sciences | Grenoble, Rhone Alpes | France | about 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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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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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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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