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focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology
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aspects of ICT (Information and Communication Technologies). It is home to over 200 researchers with expertise in all communication and broadcasting systems and has developed the best-in-class large scale
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analysis. · Advanced programming and workflow development skills in Python, R, Bash, and related computational tools for large-scale data analysis and reproducible research. · Experience with
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, multimodal, and agentic AI, as well as foundation models, with a focus on geometric deep learning, large-scale knowledge graphs, and large language models. Fellows will also have the opportunity to apply
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systems Experience in large-scale data processing, signal analysis or real-world system deployment Proficiency in programming (e.g., Python) and ML frameworks (e.g., PyTorch, TensorFlow) Experience with
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management. This is a full-time on-site position located in Singapore. The successful candidate will be responsible for conducting research, performing data collection analysis, and contributing to academic
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16 Apr 2026 Job Information Organisation/Company UNIVERSITY OF SURREY Research Field Computer science Researcher Profile First Stage Researcher (R1) Application Deadline 3 May 2026 - 00:00 (UTC
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large, deeply characterized longitudinal cohorts and biorepositories, integrating metagenomics, transcriptomics, metabolomics, and host immune profiling. This position is designed for a candidate
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The appointees will assist the project leader in the research project – “Privacy-preserving computing enabled federated Large Language Model systems”. Qualifications Applicants for the Postdoctoral Fellow post
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. Key Responsibilities: Design, adapt, and apply statistical, computational, or AI-based methods for metabolomics and multi-omics data analysis. Analyse large-scale metabolomics, proteomics