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Field
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microstructural disorder, with the aim of uncovering how microstructure geometry fluctuations, heterogeneity, and collective behavior influence damage initiation and crack propagation. The position will focus
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 1 month ago
of the direct ECT problem. The direct ECT problem essentially consists in solving the 3D Maxwell equations, in the harmonic regime, within an heterogeneous medium. The medium, whose geometry may be complex, is
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continue this work on the development of the Modal Strain energy (MSE) and Matched Field Processing (MFP) methods for detecting and locating a potential fault on several geometries of heavy fluid structures
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Leipzig The Max Planck Research Group "Cluster Algebras" of Dani Kaufman has openings for PhD Student and Postdoctoral Researcher Positions. The group is based at the Max Planck Institute for Mathematics
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research interests are non-Lorentzian field theory and gravity (e.g. Galilean, Carrollian, and Lifshitz geometries), non-AdS extensions of gauge/gravity dualities (e.g. non-relativistic holography
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collaboration. Qualifications: Applicants must have a PhD in Robotics, Control Engineering, Machine Learning, AI, Mechanical or Electrical Engineering, or a closely related field. Strong focus on robot
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The Royal Veterinary College, University of London; | Potters Bar, England | United Kingdom | about 2 months ago
). This post will focus on using detailed wing geometry models and free flight kinematic measurements in computational fluid and structural dynamics simulations to recover dynamic strain and flow fields
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to work on a project investigating mechanosensing in flies (Diptera). This post will focus on using detailed wing geometry models and free flight kinematic measurements in computational fluid and structural
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Job Offer from July 31, 2025 We are currently seeking a highly motivated PhD student or Postdoctoral researcher to join our department at the Max Planck Institute for Sustainable Materials (MPI Sus
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mesoscale fractal geometry, creating physics-informed neural network models to analyze turbulent structures, and comparing simulation results to astronomical observations to develop methods for inferring