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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
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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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, conduct experiment, and deploy Large Language Models on high-performance cloud Linux servers; and (f) assist in summarising and writing up research findings. Qualifications Applicants should: (a
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activities. Job Requirements: Preferably PhD in Computer Engineering, Computer Science, Applied Mathematics or equivalent. Strong software background in software engineering and cloud computing systems. Strong
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dynamics programs, such as Molecular Operating Environment and/or Schrodinger or structure prediction programs such as AlphaFold or ESMFold, is preferred. Familiarity with running software in cloud computing
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continuous improvement of development infrastructure (e.g., CI/CD, Docker, cloud-based services). Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations. Coordinate