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researcher will work at the interface of root developmental biology, 3D modeling, network and graph theory, and data analysis, in close interaction with biologists, modelers, and computer scientists (INRAE
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research impact. More information about the study can be found here: https://www.healthdata.org/research-analysis/gbd . Purpose of the post We seek a motivated, detail-oriented researcher enthusiastic about
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, Optimization, and AI • ML/AI for mobility prediction and optimization • Graph algorithms, network science • Spatiotemporal modeling • Operational research for mobility and infrastructure • Real-World Practice
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responsibilities. Experience Essential: E1 Experience of analysing human body movement from sensor data (eg RGB videos and/or MOCAP data) using Deep Neural Networks (such as Graph Convolutional Networks). E2
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and Sobolev-type spaces (with Hytönen and/or Korte), Conformal deformations of metric measure spaces and/or general regularity and convergence for graph-based machine learning using stochastic game
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knowledge graphs, rules, and process understanding, with implications across sectors from ecology to infrastructure. 4. Theme 4 (“Communities”): Green and Resilient Communities and Entrepreneurship
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are enrolled in graduate course work, studying in disciplines ranging from atomic physics and graph theory to medieval literature and blind rehabilitation. Of 101 graduate offerings available, 30 lead to a
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, OneDrive, and Azure AD/Entra ID. · Experience of automating administrative tasks using PowerShell, Power Automate or Microsoft Graph API. · Experience supporting or transitioning from legacy IT systems
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, graph neural networks, physics-informed ML) to approximate PF results Train models using simulation results generated from conventional power flow solvers Evaluate AI-based approximators in terms
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interactive learning objects and activities Create accessible charts/graphs/diagrams Create animations, animated movies and 3D models Communicate regularly with team members, Team Lead, and Project Coordinator