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Vacancies PhD position on Stochastic geometric numerical methods Key takeaways Are you passionate about developing cutting-edge numerical algorithms at the intersection of geometry, stochastic
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couplings enable self-alignment purely through geometry and contact mechanics, offering a fast, robust, and repeatable solution for high-tech applications. Although the concept of kinematic couplings has
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Systems, Differential Geometry and/or Information Theory. Excellent academic credentials. Experience with programming languages (such as Python, Julia, Matlab, C/C++, etc.). Strong knowledge and interest in
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Systems, Differential Geometry and/or Information Theory. Excellent academic credentials. Experience with programming languages (such as Python, Julia, Matlab, C/C++, etc.). Strong knowledge and interest in
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. The KdV Institute offers a stimulating scientific environment in which research focuses mainly within the research programmes (1) Algebra, Geometry and Mathematical Physics, (2) Pure, Applied and Numerical
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to provide input for the Report for Mission Assessment and User Consultation Meetings; supporting work in the modelling of end-to-end performance simulators (scene generators, geometry module, spacecraft
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purposes, such as generative AI for video, graphics and text, virtual reality, mixed reality and augmented reality, and proposing a dedicated plan for development and implementation; developing and
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(with a strong mathematical focus) with above average grades Advanced knowledge in probability; expertise in random graphs, complex networks, hyperbolic geometry or topological data analysis is a plus
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of educational material for the Space Medicine Team members for the topic of medical data management. Your main responsibilities will be: Improve OCR (Optical Character Recognition) algorithm for automated
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and conducting work in the modelling of EEPS (scene generators, geometry module, spacecraft, payload, forward and retrieval algorithms, level 0 to level 1 algorithms, etc.); initiating and conducting