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of predictive models, multimodal data integration, development of explainable AI algorithms, analysis of clinical, biological and imaging data, and implementation of software tools supporting biomedical research
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-based reasoning. The goal is to move beyond isolated prediction models towards an integrated agentic system that can model patient trajectories, compare treatment strategies and generate transparent
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | about 14 hours ago
Research Infrastructure? No Offer Description A two-year research engineer position is available in team BioTiC at Inria Lyon. At BioTiC, we study cellular systems through computational models and
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aimed at developing predictive capabilities for transport in fusion-relevant plasmas and validating models against experimental observations. The group collaborates with major international fusion
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intelligence models https://www.upv.es/entidades/SRH/conypi/A1280158.pdf Where to apply Website https://sede.upv.es/oficina_tactica/?idioma=en#/inicio Requirements Research FieldEngineering » Biomedical
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intelligence, starting 1 April 2027. You will design new sequence-to-expression deep learning models that predict gene expression from DNA sequence in plants, using new experimental datasets generated in
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Danfoss, you will combine thermofluid modelling, reduced-order multiphysics methods, and nonlinear rotor dynamics analysis to develop predictive modelling tools that support the industrial design of
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the superfluid-to-insulator transition, random quantum circuits, and the effects of quantum measurements. -Develop theoretical models and analyses of disordered quantum systems. -Perform numerical simulations and
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-resilient rainwater harvesting solutions by combining field sampling, innovative treatment testing, and predictive modelling to make decentralized urban water reuse safe and sustainable Are you passionate
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The main objective of the project is to develop novel, interpretable predictive models for response to immunotherapy in patients with advanced melanoma, based on the functional activity of gut fungi