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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 2 days ago
characterization of these devices as well as proof-of-concept prototype electronics that will be manufactured in more traditional solid-state processes. As part of this project, you will be expected to work closely
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PhD position in Metabolic microbiome modelling Research Group Medical Systems Biology, Institute of Experimental Medicine The University Medical Center Schleswig-Holstein is one of the largest
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processing techniques that take full advantage of these capabilities, in order to translate them into optimal radar performance. The purpose of the PhD is to lay down theoretical and practical foundations
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Description For our location in Hamburg we are seeking: PhD Position: Method Development for Hierarchical X-Ray Imaging at Synchrotron Facilities Limited: 2 years | Starting date: earliest possible
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imaging of energy storage materials, with the focus on detection of light elements and monitoring of electrochemical processes. The research will be conducted primarily at the accelerator facility
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into the generation process. This multidisciplinary project will deliver deployable models, reproducible methods, and, where allowed, shareable datasets. The student will gain training in deep learning, AI, image
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Do you have passion for sustainable design and development of new materials by combining experiments and modeling? We are looking for motivated candidates for three PhD positions in AI-STEEL Project
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of maturity, this technology requires to experiment a change of paradigm to guarantee a sustainable development for the years to come. One pathway to achieve this paradigm shift relies on the development
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students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position A PhD position, fully funded for three years
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learning has strong potential for computer vision, from hyperbolic image segmentation [2] to hyperbolic tree embeddings [3] and hyperbolic vision-language models [4,5]. [1] Nickel, Maximillian, and Douwe