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equations. Your main research assignments will be to develop new models and methods for generative sampling and Bayesian inference. You will be jointly supervised by Assistant Prof. Zheng Zhao (https
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. Must be detail oriented and possess basic mathematical skills. Position requires 90 days on site training, then on-site clinic prior to going remote. When remote, will be in-office 1-2 x a week
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | about 1 month ago
between the device-dependent and the device-independent scenario, and (iv) developing its applications in communication, computation, and security tasks Where to apply Website https://jobs.inria.fr/public
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, Applied Mathematics or relevant field of studies. Additional Information Work Location(s) Number of offers available1Company/InstituteONERACountryFranceCityChâtillonGeofield Contact Website https://w3
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prediction framework that enables the autonomous self-configuration of swarm computing within the 6G infrastructure, ensuring high availability and SLA compliance through continuous, data-driven optimization
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13 Feb 2026 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Computer science » Other Mathematics » Applied mathematics Mathematics » Statistics Researcher
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are looking for The following requirements are mandatory: A doctoral degree or an equivalent foreign degree in chemical engineering, mechanical engineering, applied mathematics, or a closely related field. This
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important examples such as Schrödinger Cat states, which are superpositions of coherent states with different phases. This project focuses on the optimal preparation of Schrödinger Cat states in a propagating
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development, analysis procedures, and other engineering solutions. Performs failure analysis, optimization studies and other investigations. Evaluates findings to develop new concepts, equipment, or processes
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& Modeling: Develop and simulate numerical models of damage and failure in aerospace structures, including FEA for metamaterials. Materials Design & Characterization: Study and optimize metamaterials and