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(analysis/ geometry), applieddifferential geometry and machine learning;•Solid publication record in image analysis, scientific computing or machine learning.•Knowledge and practical experience in at least 3
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" your main tasks are: Carry out research in the research group Geometric Learning and Differential Geometry within the Centre for Analysis, Scientific Computing and Applications (CASA) of the Department
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research record in one of the following areas of pure mathematics. Algebraic and arithmetic geometry Random matrices, complex analysis Differential geometry Functional analysis and operator algebras Group
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of the following topics is essential for this position: differential equations, operator spectral theory, linear vector spaces, differential geometry, boundary-value problems, Green's functions, variational
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morphology of splash-cups optimal for dispersal? The postdoc will characterise the efficiency of dispersal of a splash-cup as a function of its geometry, in terms of number of gemmae dispersed and reach of
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and teaching, and are funded by the department’s NSF supported “Southern California Geometry and Topology Center.” Outstanding candidates in all areas of (algebraic, complex, differential) geometry and
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/or Differential Geometry. Office in the Sophie Germain building; participation in the activities of the Singularity Theory group. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7586
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through 16 teams or themes organised into four clusters: the Control and Diagnostics Cluster (PAD), the Data Science Cluster (PSD), the Speech and Cognition Cluster (PPC), and the Geometries, Learning
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manipulation learning & control, and differential geometry is a plus. Knowledge of safe control methods including Lyapunov stability, barrier functions, and certified learning frameworks. Hands-on experience
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-du-Lac, Savoy. The lab is organised in three research teams: EDPs2 (partial differential equations: deterministic and probabilistic studies), Géométrie (Geometry), and LIMD (Logic, Computer science