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environmental data Processing and analyzing large-scale remote sensing datasets from UAV, satellite, and ground-based sensors Leveraging artificial intelligence, e.g. machine learning, reinforcement learning
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Postdoctoral Fellow in Kagome Lattice and van der Waals based Quantum Materials Your tasks Conduct in-house and large-scale facility experiments Write beam-time application proposals Analyse scientific data and
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the process of measuring and analyzing high-throughput, multi-dimensional omics data integrating single cell transcriptomics and spatial proteomics of immune cells from CSF and blood as well as human brain
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economic, social and cultural benefits. For more information please visit: https://www.brunel.ac.uk/about/our-history/home The Department of Computer Science at Brunel where this project will be conducted
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to or even much larger than the total sample size n. We refer to such “large p, small n” data as high-dimensional data. An enduring interest in statistics is to compare the covariance matrices of two high
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populations. • Performing data analysis for large dataset. • Supervising Graduate and Undergraduate Students. • Sharing general house-keeping duties with other staff working in the office of Associate dean
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Research Fellow in AI for Healthcare (1 FTE) – ArcHub ICUSafeNotes-School of Computer Science 011287
of other medical data, to support clinical decision making. This builds on our prior research in which we have assessing the usefulness of a large language model to query and summarize unstructured medical
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using Large Language Models (LLM) to query and reason geospatial data. The project aims to develop a pilot decision support systems in collaboration with industry partners. The Postdoctoral Research
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largest academic research institute in Europe specialising in all aspects of ICT (Information and Communication Technologies). It is home to over 200 researchers with expertise in all communication and
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tumors using high-throughput sequencing technologies. Develop, optimize, and manage bioinformatics pipelines for processing and analyzing large-scale sequencing data (e.g., whole exome sequencing, RNA