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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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, including: Cloud infrastructure (AWS/Azure/GCP), Backend systems and APIs for battery telemetry ingestion and analytics, Frontend dashboards for real-time monitoring, diagnostics, and fleet intelligence
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research. Familiarity with cloud computing, database management, and scalable analysis infrastructure. Strong mentoring orientation and ability to raise the overall research quality of collaborative teams
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maintain modelling, data management and cloud-based exchange systems to enable effective collaboration and delivery across the IGNITE Hub. Contribute to writing bids for research funding Collect, analyse
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data infrastructure and clouds in digitally mediated natural resource extraction and exploitation). The position is for three years, with the possibility of extension for teaching activities
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testing, version control, clear documentation, and continuous improvement of development infrastructure (e.g., CI/CD, Docker, cloud-based services). Carry out Risk Assessment, and ensure compliance with
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to work with high-performance computing environments during academic training, with basic knowledge of cluster usage or cloud-based AI tools More Information Location: Kent Ridge Campus Organization
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in Python and/or R Experience with cloud computing and high-performance computing environments Ideal Candidate Profile We are seeking a computational biologist, biostatistician or bioinformatician with
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GPU acceleration, cloud computing, and distributed architectures, to enable efficient analysis of large-scale video datasets. Collaborate with clinical and academic collaborators, external partners
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About the Role Applications are invited for a Research Fellow to work with Prof. James Sprittles and collaborators on the EPSRC Open Fellowship entitled “From Nanofilms to Clouds: A Modelling