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battery data. Develop scalable, secure, and production-grade software systems supporting industrial deployments. Integrate embedded BMS firmware, edge computing devices, and cloud analytics pipelines
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computing devices, and cloud analytics pipelines. Implement AI-driven diagnostics and battery state estimation algorithms. Collaborate closely with industry stakeholders to co-develop next-generation battery
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) data analysis, workflow automation, and cloud computing. This role will support research and production environments where reproducibility, scalability, and performance are critical. The successful
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programme Reference Number C644914747-00000023 Is the Job related to staff position within a Research Infrastructure? No Offer Description 1 (one) Research Fellowship (BI) for a PhD Student Ref. 1149.10 - 1
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Engineering » Electrical engineering Engineering » Control engineering Physics Mathematics Computer science Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 26 Apr
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backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services
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Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in
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the future? PhD Research Fellow in “TwinFlow: Digital Twins for Multi-Use of Mobile Battery Fleet Systems” Apply for this job See advertisement Welcome to USN The University of Southeastern Norway (USN) ranks
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programme and/or specific research project. Informal enquiries can be made to Hongbiao Dong (h.dong.1@bham.ac.uk ) To download the full job description and details of this position and submit an electronic
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May 2026 - 22:00 (UTC) Country Czech Republic Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Mar 2027 Is the job funded through the EU Research Framework Programme? Horizon Europe