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Field
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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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). Practical experience with cloud computing platforms (e.g., AWS, GCP, Azure). Additional Qualifications Experience with multi-GPU model training and large-scale inference. Familiarity with modern AI
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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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academic 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
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application teams and contribute to broader initiatives, including the American Science Cloud (AmSC) AI Services efforts, and to help us with design of future systems and data-management solutions to meet needs
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Applications are invited for a Postdoctoral researcher in convection and aerosol research with satellite based remote sensing. This position, part of the EU Horizon Europe project Clouds and climate
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-the-loop validation, and performance evaluation for detectors (precision/recall, PR curves, etc.). Experience with scalable computing (HPC/cloud), workflow automation, and/or containerized/reproducible
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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