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Field
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, statistics, computer science, physics, biomedical engineering, or a related field, ability to conduct independent research, experience with mathematical modelling, statistical data analysis, or computational
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photonics, and nanophotonics. Develop and apply analytical models for light scattering phenomena in photonic structures. Perform numerical simulations using tools such as Lumerical FDTD and COMSOL
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ideal opportunity to promote the attractiveness of the Marseille region and to highlight current research and emerging ideas in all areas of mathematical sciences. Where to apply Website https
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of Mathematics of the Polish Academy of SciencesCountryPolandCityWarsawPostal Code00-656StreetJana i Jędrzeja Śniadeckich 8Geofield Contact City Warsaw Website https://www.impan.pl/ Street Jana i Jędrzeja
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: Applied mathematics; Machine Learning; Mathematical Modelling Appl Deadline: 2026/03/24 10:59 PM UnitedKingdomTime (posted 2026/03/18 04:00 AM UnitedKingdomTime, listed until 2026/04/01 04:59 AM
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 8 days ago
applied mathematics, control, or related fields, with knowledge in several of the following areas: Graph theory and network modeling Dynamical systems and physical modeling (ODE/PDE, multi-agent systems
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novel methods across evolutionary analysis, mathematical modelling, micro-scale experiments and 3D printing. You will have a PhD (or close to completion) in biophysics, bioengineering, mathematical
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 4 days ago
at scientific meetings and conferences. References: [1] Preda C, Grimonprez Q, Vandewalle V. Categorical Functional Data Analysis. The cfda R Package. Mathematics. 2021; 9(23):3074. https://doi.org/10.3390
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. https://research.pasteur.fr/en/job/postdoctoral-positions-in-epidemic-mathematical-statistical-modelling
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on studying the principles of neural computation through recurrent neural networks, dynamical systems theory, and machine learning. - Develop mathematical and computational models of neural networks - Analyze