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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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packages. Maintain high software engineering standards through rigorous testing, version control, clear documentation, and continuous improvement of development infrastructure (e.g., CI/CD, Docker, cloud
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, ArcGIS Survey 123, etc. Experience with Adobe Creative Cloud products such as Indesign, Illustrator, and Photoshop Experience in 3-D modeling and Rendering software such as Sketchup, Rhinoceros, V-Ray, and
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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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-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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on creating frameworks and middleware that facilitate the integration of quantum computing with traditional HPC and cloud environments. Main activities include designing quantum–classical workflow frameworks
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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