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We are seeking a Research Fellow to develop AI-enabled cloud analytics and BIM-based Digital Twin systems for real-time geometry monitoring and control in bridge and viaduct construction. Key
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papers in peer-reviewed Journals are key to the role. You will be responsible for: Design and implement full stack battery intelligence platforms, including: Cloud infrastructure (AWS/Azure/GCP), Backend
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building energy models. The role will focus on participating in the development and implementation strategy of a cloud AI-based framework to perform business valuation. Key Responsibilities: Develop new CFD
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, training workshops, and mentorship from senior researchers and international collaborators. Qualifications • PhD in statistics, biostatistics, computational biology, epidemiology, computer science, or a
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scalable bioinformatics pipelines on cloud-based infrastructure. The Research Fellow will be responsible for the code base supporting the large-scale genomic processing and analysis pipelines at the SMaHT
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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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techniques that enable scalable deployment on cloud, edge, and robotic platforms. The Research Fellow will contribute to the University’s mission by conducting high-impact research, developing innovative
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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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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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(purchasing equipment, materials and consumables) Key Competencies and Requirements: PhD in biomedical sciences, bioinformatics, molecular epidemiology or related fields Experience with programming languages