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engineering for urban data research. Knowledge, Qualifications, Skills & Experience Knowledge/Qualifications Essential A1 Degree (or equivalent experience) in IT, Computer Science, or related discipline. A2
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working with high-performance or cloud computing environments. Practical experience in either large-scale genomics data analysis or statistical/AI/ML method application to biological data. Familiarity with
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qualified talents. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Trustworthy AI, secure and reliable systems, cloud computing, cryptography, network
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(UTC) Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research
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for certain posts On-Site nursery On-site gym Enhanced maternity, paternity and adoption pay Employee assistance programme: Staff Support Service Discounted medical insurance Visit https://www.ucl.ac.uk/work
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observational, simulated, or laboratory data sets Efficient use of high-performance computing (HPC) and cloud-based platforms (Near) real-time analysis of large or streaming data Data management, archiving, and
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to the applicant’s academic rank. Candidate must possess good understanding of informatics infrastructures to support highly innovative research within high performance computing (HPC), cloud computing, and secure
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future financial support, through gifts and pledges to the University, for critical operations such as student aid, faculty support, academic and research program development, and facilities and
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, and presentation. Maintain a fully digital, cloud-based filing system (SharePoint/OneDrive/Teams), ensuring version control and accessibility. Manage inbox systems, draft and edit correspondence, and
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processes. Selection Criteria: Essential: A degree in Software Engineering, Computer Science, or a related field. Proven experience developing complex, enterprise-level cloud applications. Proficiency in