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discovery, personalized medicine, and the transition toward advanced animal-free testing methods. Your immediate leader will be the Head of Department. About the project The PhD position is funded through
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Inria, the French national research institute for the digital sciences | Sophia Antipolis, Provence Alpes Cote d Azur | France | 3 months ago
to significantly accelerate computations while maintaining sufficient physical accuracy for geoscience applications. Inspired by methods from computer graphics, this approach could enable unprecedented resolutions
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Uppsala University, Department of Information Technology Are you interested in developing new image analysis and machine learning methods for precision medicine and clinical decision support? Would
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | about 1 month ago
sequencing, developed by Oxford Nanopore Technologies (ONT), enables real-time analysis but introduces relatively high error rates [4,5]. Unlike traditional sequencing technologies, nanopore sequencing
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experiments and policy-capturing methods may be used to compare interviewer judgements with evidence-based outcome measures. The project will also explore machine-learning, multimodal data analysis, computer
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contribute to aiD by developing trustworthy AI-supported methods for multimarket bidding and decision support in Nordic power markets. The rapid integration of wind power, battery storage, and other flexible
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sensors capable of characterizing the dynamic state of buildings and their inhabitants. By combining multi-microphone acquisition techniques with state-of-the-art machine learning methods, acoustic sensing
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. Enforcing these is hard when the data, the model, and the rules belong to different parties, none of whom can hand over what they hold. Privacy-preserving AI protects data and models but not rules, while
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
(classes and properties) from different ontologies. At the data level, linking keys define sufficient conditions for identifying resources from different knowledge graphs. Thesis Objectives Digital twins
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and Technology and monitored by UK Research and Innovation (UKRI) . The programme’s mission is to develop innovative methods for designing and integrating microchips manufactured using different