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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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-scale or cloud-based genomic analysis Willingness to learn new languages and tools as the field grows SUPERVISORY RESPONSIBILITIES: This position will involve co-mentoring of students and other
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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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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
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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
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optical, wireless and cloud technologies. The position will be based in the School of Computer Science and Statistics, with Prof. Ruffini research team and affiliated with the ADAP research centre on AI
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Fellowship associated with the DataMines project (Governing data infrastructure and clouds in digitally mediated natural resource extraction and exploitation). The position is for three years, with