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Are you keen to support innovation of UK weather forecasting? Do you have an established background in cloud physics research? Would you like to further your career in a world-leading atmospheric
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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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AI models to automate QA/QC processes, enabling real-time verification, anomaly detection and consistency checks across records. Develop a cloud-based verification platform for digital data collection
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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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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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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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during academic training, with basic knowledge of cluster usage or cloud-based AI tools More Information Location: Kent Ridge Campus Organization: Faculty of Science Department : Physics Job requisition ID
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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