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in applied mathematics to solve real-world problems to optimize productivity, improve logistics, and streamline supply chains. Both OM and statistics offer a PhD under their own umbrella program
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Position Description The School of Physics (https://physics.gatech.edu/ ) at the Georgia Institute of Technology in Atlanta, Georgia invites applications for a Postdoctoral Fellow position in Artificial
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Established in 1981, the School of Electrical and Electronic Engineering (EEE) https://www.ntu.edu.sg/eee is one of the founding Schools of the Nanyang Technological University. Built on a culture
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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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. Our ideal candidate already has experience with modern methods in probability theory, mathematical finance, or optimization and is capable of actively contributing to research projects in these fields
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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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inference and deployment costs (e.g., model compression/simplification and hardware-aware optimization). We are also interested in how resource-efficiency interacts with broader sustainability aspects
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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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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