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considered in exceptional cases (e.g. child- or familycare, other projects or employment). Profile You have outstanding experience in Machine Learning with a PhD degree from a university in Computer
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observation scene generation, instrument/payload simulation and characterisation and mission data processing, as well as software tools providing precise information on orbit and geometry; ensuring
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Artificial Intelligence – ScaDS.AI. We seek to fill the above position as soon as possible (e.g., Oktober 1, 2025). This interdisciplinary project investigates how physical systems can serve as computational
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geometries”. The position is funded in the context of the project MADE React co-funded by the Innovation Fund Denmark. The PhD student will be working in the framework of the ongoing collaboration between DTU
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, technical drawings, schematics, and computer-generated reports - Experience manufacturing aerospace parts from titanium and nickel-based alloys - Effective interpersonal/verbal communication skills with team
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the EU Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Level and duration: PhD. Salary depends on experience
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PhD and master’s student research with ability to contribute to curriculum needs in the department. The department’s current strengths in pure mathematics are in the areas of algebra, analysis, geometry
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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
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not limited to – applied topology, algebraic statistics and computational algebraic geometry, cryptography and computational number theory, computational combinatorics, discrete and computational
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-graded learning questions. Design web-based homework assignments and engaging tools for key topics such as functions, trigonometry, and analytic geometry. Refine and maintain existing Calculus content