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Field
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geometries and advancing to multimodal damage assessment capabilities. The group conducts cutting edge research and publishes on novel ML breakthrough algorithms for large scale geospatial application
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and Seidel in the early 2000s, inspired by symplectic geometry. This PhD project is part of a broader research program aiming to use categorical tools to derive geometric results about the
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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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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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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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Professor positions in Quantum Mathematics with emphasis on pure mathematics with relations to quantum theory or with emphasis on Quantum algorithms, Quantum software and Quantum computing. The targeted
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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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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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Mathematics, Physics, Computer Science, or Engineering Advanced knowledge of one or more of the following areas: differential geometry, optimization, quantum mechanics, robotics Enthusiasm for applying advanced