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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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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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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
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cross-sector assessment of green steel requirements for the EPSRC IGNITE Sustainable Manufacturing Hub. The postholder will design and coordinate research programmes, oversee a 12month programme of
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. The research fellow must take part in the Faculty’s approved PhD program (TIK track) and is expected to complete the project within the set fellowship period. The main purpose of the fellowship is research
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-design to enable efficient and accurate deployment of AI algorithms on robotic, edge, and heterogeneous computing platforms. Develop methods for efficient deployment of AI models on cloud and edge devices
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analytics-driven research questions that lead to high quality publications. Experience working in interdisciplinary teams spanning clinical, wet-lab, and computational research. Familiarity with cloud
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program and the MD/PhD program are located on the Twin Cities campus in addition to MD programs at regional campuses in Duluth and St. Cloud. Pay and Benefits Pay Range: $62,232 annually; depending