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Your Job: We are looking for a PhD student to contribute to the development of fast, accurate, and physics-informed machine learning models for predicting blood flow in patient-specific vascular
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motivated postdoctoral fellow. We study how metabolism and metabolic enzymes in endothelial cells contribute to health and disease by leveraging genetically engineered mouse models, in vitro cell culture with
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relies on accurate models of how the system interacts with its environment. Traditionally, such world models—comprising transition and observation models—are specified by domain experts, based
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The project is a follow-on to a project conducted at CAMS on modeling the spread
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Programme? Horizon 2020 Is the Job related to staff position within a Research Infrastructure? No Offer Description Your tasks: -Design and fabrication of biomaterials-based microfluidic devices to model
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model of the Inspection Testbed. Use CS Ontology elements or add new elements if necessary. Include requirements, verifications and traceability. Include resilience KPIs in the model. Upload the model
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can connect their models to the ABM. The research is embedded within the chair Urban Economics https://www.wur.nl/en/chair-groups/section-economics/urban-economics and, which is led by Prof. Eveline
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with experts in climate modeling, geosciences and in renewable energy development have been set-up to respond to these societal issues. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre
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tracking for microbes and microgels in phase-contrast and fluorescence images Optimise these models and pipelines for real-time performance and integrate them into an action–perception loop that drives
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classification and lineage tracking workflows for multi-species time-lapse data Optimise models and pipelines for real-time performance, enabling adaptive imaging and feedback Develop active learning and