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Inria, the French national research institute for the digital sciences | Saclay, le de France | France | 2 months ago
(www.code-saturne.org ), EDF developed recognized expertise in neural-network-based learning for handling simple fluid flows with high accuracy [Meyer et al., 2021]. In 2022, an algorithm hybridizing POD
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together with the successful candidate and in dialogue with the relevant academic and external research environments. Duties of the position Develop machine-learning methods for detecting, localizing
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nanocrystals, hybrid perovskites and 2D materials. Development of new data-driven approaches for studies of optoelectronic properties using EM, including machine learning / machine vision algorithms. The balance
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reporter development, mechanobiology of cells within their microenvironment, and immunoengineering. Ultrasound imaging and devices, with demonstrated ability to conduct innovative, independent research and
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mission in society Developing tasks in a strong and international professional environment Career guidance and follow-up during the PhD period Open and inclusive working environment with committed
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, an ambitious ERC-funded research program that aims to develop and evaluate personalized donor health protection strategies for blood and plasma donors. As demand for plasma-derived medicinal products continues
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flexible and open to adjusting the plan for the project as needed Emphasis will be placed on personal qualities. We offer An exciting job with an important mission in society Developing tasks in a strong
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algorithms. model and optimize end-to-end physical-layer performance, hardware non-idealities, and overall power consumption. focus primarily on space and security topics (satellite communications, reliable
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Max Planck Institute for Human Cognitive and Brain Sciences • | Leipzig, Sachsen | Germany | about 2 months ago
London (UCL), UK Teaching language English Languages Courses are held in English (100%). Full-time / part-time full-time Programme duration 6 semesters Beginning Winter semester Application periods
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of reinforcement learning (RL) for industrial process control and optimisation. The research focuses on developing RL methods that can support decision-making and control in complex industrial systems while