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soft robot-assisted simulations in the areas of brain machine interaction, wearable haptics, and rehabilitation. The successful applicant will have the following technical experience in: PhD degree in
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of work: We combine a unique methodology of recording the activity of single neurons in humans with advanced analytical approaches, such as machine learning and multidimensional analyses, to better
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coordinating electricity, heat, cooling, and hydrogen flows in distributed energy networks. While the primary focus is on developing a scalable and economically viable energy management solution, potential case
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is suited to candidates with a PhD awarded or close to completion (or equivalent experience), in electrical machines, drives, control, real-time simulation, or a closely related engineering discipline
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hold a PhD in computer science or mathematics, with computer algebra as a specialty. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR7161-GOVVAN-019/Default.aspx Work Location(s
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per year. The position is supported by the National Science Foundation (NSF) and the University of Minnesota and will provide opportunities for collaboration with mathematicians and computer scientists
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spaces, data protection, privacy and digital trust frameworks. Where to apply Website https://www.mtu.ie/vacancies/ Requirements Research FieldComputer scienceEducation LevelPhD or equivalent Skills
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application d) Previous experience with computational modelling and machine learning. Additional optional skills and qualifications: Experience with Soft and Living Matter. Contracting requirements
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22 Jul 2026 Job Information Organisation/Company Grenoble INP - Institute of Engineering Department Engineering Research Field Engineering » Computer engineering Researcher Profile First Stage
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experience and qualifications. This salary scale is in alignment with the Postdoctoral Research Associate NIH salary scale: https://www.niaid.nih.gov/grants-contracts/salary-cap-stipends In accordance with