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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 21 hours ago
. This involves theory but also the integration of observational information into models through data assimilation and model inversion. In this domain as in many fields of applied science, researchers face high
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complex and dynamic environments. The research is driven by applications where current technology is insufficient, such as large-scale biodiversity monitoring in natural environments, smart agricultural and
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modelling, data-driven approaches, and experimental validation. The project combines computational materials science with practical membrane design for electrochemical energy applications. PhD Position 1
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@UT). The research combines manufacturing systems engineering, digital factory modelling, and sustainability assessment, and includes validation through industrial case studies and demonstrators. By
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intralogistics) workflows at the Fraunhofer Innovation Platform for Advanced Manufacturing (FIP-AM@UT). The research combines manufacturing systems engineering, digital factory modelling, and sustainability
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prediction models, and visualizing immense volumes of various types of data, generated by agri-robots and IoT devices. The most popular classes of autonomous agricultural devices include: weeding robots
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-driven/model-based AI methods to analyse time series of clinical data coming from sensors, enriched by the possible trajectories of relevant human patho-physiology models of interest for: Phenotype
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before the deadline. Computational haemodynamic modelling provides a powerful framework for linking blood flow dynamics with cardiovascular disease, using in silico approaches to systematically study flow
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receive an annual tax-free stipend set at the UKRI rate (£20,780 for 2025/26) and tuition fees will be paid. We expect the stipend to increase each year. Computational haemodynamic modelling provides a
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computational modelling and non-invasive brain stimulation. The focus of this project will be on advanced versions of transcranial alternating current stimulation (tACS), targeting multiple brain areas in