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, Artificial Neural Networks, and neural decoding, including cross-condition generalisation and coding similarity analyses of MEG activity patterns. The project is closely articulated with a PhD project in the
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science, at the interface between chemistry, biology, and health. Its research focuses in particular on the synthesis and design of bioactive peptides, foldamers, protein–peptide interactions, and
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, aims to design, develop, and validate an AI-powered digital twin model addressing key challenges in Health Research. It is a digital copy of the human body trained to identify missing scientific concepts
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project on bedload metrology. He will be responsible for: 1) Designing and supervising the implementation of experimental devices to measure bedload transport. 2) Coordinating field activities, data
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working experience and training/habilitation in animal experimentation (mandatory). A PhD level, preferably without former postdoctoral experience or research compatible training such as engineer schools. A
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 14 hours ago
-adaptive systems. We focus particularly on two properties: self-healing and self-optimization. With self-healing, we aim to study and adapt data mining and machine learning solutions to the design and
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include: · Developing simplified 0D thermodynamic and hydrodynamic models for preliminary injector design and sensitivity analysis; · Developing advanced multiphase and multi-species models and performing
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The successful candidate will contribute to the development of a new generation of 3D-printed biomimetic materials designed to model the human intestine in vitro, as part of the BAM-INT project. The project aims
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, designed to identify—alongside individuals directly affected by trauma and field experts—the features that describe and explain a memory that has become resilient. An experimental and functional neuroimaging
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and motivated PhD student to contribute to the development of the next generation of DNA computers, capable of processing large molecular databases. The project will combine concepts from molecular