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research in the field of electrical machines and electrical modelling, we are now looking for a Postdoctoral Fellow with ambitions within the academy for a two-year employment. Subject description
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position, at the Department of Electrical and Electronics Engineering, for the Scientific-Disciplinary Group (GSD) - 09/IINF-05- Information Processing Systems (SSD IINF-05/A), funded by European
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 11 days ago
the prediction of vehicle flows, energy demand, and flexibility of electric vehicle fleets, with applications to energy and transportation systems. The work lies at the intersection of systems and control, data
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. The postdoctoral researcher will conduct cutting-edge research in areas such as cyber-physical systems security, protection of critical infrastructure, and adversarial machine learning. The position will involve
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and enthusiastic individual who meets the following criteria: Recently earned a Ph.D. in bioinformatics, computational biology, computer science, electrical and computer engineering, or a related
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, signals, measurement data, and biomedical data. Current research topics include: causal analysis in time series complex systems and networks, chaos, and fractal-based methods, EEG analysis, computational
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You hold a PhD in Computer Science, Artificial Intelligence, Applied Mathematics, Electrical Engineering, or a closely related field. You have demonstrated expertise in machine learning and deep
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interests. For more information about the lab, please visit our website: https://ssivrlab.wixsite.com/ssivrlab . The Postdoctoral Researcher will support the PI (Dr. Valerie Jones Taylor) in work related to
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designing and running user studies, building and iterating on hardware and software systems, analyzing data, and writing up results for top-tier venues in mobile computing and human-computer interaction. CMU
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
, leveraging on data analytics and machine learning to improve learning outcomes and engagement in the classroom, and Development of personal GPT-powered AI tutors that use the knowledge from (1) to provide