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- Wydział Matematyki Fizyki i Informatyki UG
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, for their analysis and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our activities
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Term: Initially 1 year, renewable. Appointment Start Date: As early as February 2026, but flexible Group or Departmental Website: https://med.stanford.edu/bridge-lab.html (link is external) How to Submit
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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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. demonstrated research capability in one or more of the following areas: quantitative modelling of dynamic or adaptive systems reinforcement learning, multi-agent systems, network or graph-based models simulation
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, or materials informatics. Familiarity with explainable AI or counterfactual explanation methods. Experience with molecular dynamics data, graph neural networks, or multi-component system modelling. Track record
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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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critical thinking and problem-solving skills. Outstanding presentation skills. Experience in graphing, statistical analysis and data management skills. Proficient in Word, Excel, GraphPad, Adobe Photoshop
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classes and their roles in scientific applications, such as deep neural networks (DNNs), convolutional neural networks (CNNs), transformer models, and graph-based neural networks. Familiarity with software
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scientific writing skills. Design and performance of experiments, creating graphs, knowledge of statistics, interpretation and dissemination of data. 3-years of mentorship of junior technicians and trainees
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) Your main responsabilities : To carry out research missions in the field of graph generation under constraints To ensure supervision and tutoring missions To contribute to the reputation of the School