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Field
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knowledge acquisition (machine learning), the complexity of learning algorithms, pattern recognition with artificial neural networks, computational geometry and information processing in biological neural
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geometry can be reconstructed mathematically (this is called inverse scattering). This requires both sophisticated mathematical models and efficiently implemented algorithms. In the case of wafer metrology
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Application Deadline 12 Oct 2025 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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-fuel need high fidelity computation tools to select the appropriate operating conditions and optimize the burner geometry. A major difficulty is related to the complexity of combustion chemistry
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analysis for more geometries and with a reduced number of sensors - Implementation of the MSE method on a cylindrical structure immersed in water and sensitivity analysis - Algorithmic and experimental
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12 Sep 2025 Job Information Organisation/Company CNRS Department Laboratoire d'Informatique, Signaux et Systèmes de Sophia Antipolis Research Field Engineering Computer science Mathematics
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of quantum algorithms, codes and entanglement structures; and associated topics in geometry and algebra. Applicants interested in these areas should apply for the open position here: https://www.mathjobs.org
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science; the analysis of quantum algorithms, codes and entanglement structures; and related topics in algebraic and differential geometry, topology, and representation theory. Applicants interested in
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postdoctoral position is available in the Geometric Machine Learning Group at Harvard University, led by Prof. Melanie Weber. This role offers an opportunity to perform research at the intersection of Geometry