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, within the scope of the R&D project “OPTIMIZED – Optimized interventions for eating disorders prevention and treatment”, operation nº 16211, COMPETE2030-FEDER-00736900, financed by the Fundo Europeu de
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of this position is to ensure that the Cleanroom & Nanofabrication Facility operates efficiently while maintaining the highest standards to optimize the research productivity and educational opportunities for BC
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economic development. The role requires strong foundations in mathematics and computer science, including statistical learning, optimization, simulation, and algorithmic reasoning. The successful candidate
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to develop complement/augment classical CFD methods with quantum algorithms/techniques. The work lies at the intersection of multiphase flow physics, numerical modeling, and quantum computing. Who we
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generation internet of things, and 6G telecommunications. MetaMind Innovations P.C is currently ranked as a top spin-off performer in Greece, while participating in numerous EU-funded projects in the context
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one of the many data-driven team members in the University of Utah Office of Advancement, a unit dedicated to serving main campus, University of Utah Health, and numerous affiliated organizations and
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 3 months ago
://www.cmap.polytechnique.fr/~aymeric.dieuleveut/ ), professor at Ecole Polytechnique (Palaiseau). The successful candidate will implement and compare different distributed and stochastic numerical optimization paradigms
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. The applications of the materials studied are numerous: building construction, transportation, energy, health, environment, fashion, and more. This work is part of the ANR TAFFTA project, "Towards high value-added
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distributed wireless systems" which is conducted in collaboration between Linköping University (LiU) and Lund University (LU). Read more here: https://elliit.se/project/machine-learning-for-sensing-in
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, such as pulse design or numerical optimization Background in data-driven or machine-learning approaches relevant to optimal control (e.g., model learning, reinforcement learning) What you will do Take