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laboratory Our research focuses on large-scale pan-cancer genomics to gain insight into the genes, mutational processes and evolution of cancer. Our work is highly data-driven, with a focus on large-scale data
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or PhD in Computer Science, Data Science, Artificial Intelligence, or a related field. Proven experience in large/small language model development or AI-enabled software development Strong programming
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15th June 2026 Languages English English English PhD Research Fellow in Information and Communication Technology for Development (ICT4D) Apply for this job See advertisement About the position A
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Responsibilities: Design and develop statistical methods for high-dimensional omics data, including multi-level data (subject, tissue, single-cell) with or without spatial features. Analyse large-scale omics
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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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completed by the start of employment. Skills and Knowledge: Knowledge and understanding of water data; managing and analyzing large, multi-dimensional datasets; spatial and temporal statistics. Knowledgeable
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the Department of Mathematical Sciences . The Department has a large and active research center in mathematics education, MERGA, with about 15 fellows on its PhD programme. The PHD Research Fellows appointed
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how these are associated with training load and indicators of low energy availability. The PhD candidate will work with a large and growing dataset including: performance testing (roller-skiing, running
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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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updating large datasets throughout the course of the studies assisting with the review, amendment, and resubmission of manuscripts as needed Qualifications PhD in computing science, biomedical engineering