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Individual differences in inner speech: Measurement and modelling provided the necessary funding is available. This PhD fellowship is available as of 1 February 2027 for a period of up to three years (5+3). It
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materials over large distances while reducing energy and cost. This project will form a deeper understanding of material interactions within this system by developing a numerical model of the interactions
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to know more about the different phases within the PhD trajectory? You can read more about this on this page . In this project, you will conduct preclinical studies using animal models, including a model
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domains where data cannot be directly shared, such as healthcare and finance, the ability to selectively remove the influence of specific data from trained models becomes critical. Yet, despite the EU’s
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measures that are robust, reproducible and relevant to assessments used in patients and mammalian disease models. Your research will combine different approaches to: Develop and standardise behavioural
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predict interaction effects. Unlike robot-specific neural network models, the proposed approach aims to learn a universal representation of local interactions (fluid-structure, robot-robot, robot-object
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and functional materials. UV photopolymerisation, and more recently LED technologies, enable rapid, localised and energy-efficient processes. Recent developments in UV LEDs at different wavelengths, as
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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 Develop advanced models to understand and predict piping
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | about 18 hours ago
sense known as ‘robust determinism’. Translation between different models of quantum computing (such as quantum circuits or the one-way model) are necessary to ensure that computations can be implemented
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particles and flowing water across different spatial and temporal scales, while keeping the models computationally efficient. The research builds on an Eulerian two-phase modelling approach previously applied