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of Physics (Ref.: 534748). Applicants should possess a Ph.D. degree in Condensed Matter Physics. Experience in numerical techniques and analytical field-theoretical approaches is desirable. Applicants who
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%). You will work at the intersection of numerical analysis, uncertainty quantification, and scientific machine learning. The research will primarily focus on probabilistic methods for data-driven model
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Student (f/m/d) in Quantum Algorithms for Droplet and Bubble Oscillation Dynamics Modelling. Your tasks Development and implementation of numerical and algorithmic methods for the simulation of fluid
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), colloidal physics and numerical modelling (LGC, Toulouse), and dense protein systems and drying (STLO, Rennes). The present postdoctoral position, under the supervision of Yannick Hallez and Martine Meireles
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provide detailed information on local deformation mechanisms at the microscale, while numerical simulations and data-driven approaches will enable the development of predictive models capable of linking
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study the transformation of initially spherical liquid droplets under the effect of radiation stresses, or “radiation pressure,” from ultrasonic waves (MHz) using both theoretical and numerical models
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Computational and Theoretical Condensed Matter Physics in the Department of Physics (Ref.: 534748). Applicants should possess a Ph.D. degree in Condensed Matter Physics. Experience in numerical techniques and
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Numerical Methods for Functional Calculus Appl Deadline: 2026/05/01 04:59 AM UnitedKingdomTime (posted 2026/03/12 04:00 AM UnitedKingdomTime, listed until 2026/05/01 04:59 AM UnitedKingdomTime) Position
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, Berlin 10099, Germany [map ] Subject Areas: Numeric Analysis, Partial Differential Equations Appl Deadline: 2026/04/11 04:59 AM UnitedKingdomTime (posted 2026/02/13 05:00 AM UnitedKingdomTime) Position