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                by Research Asst. Prof. Nilanjana Sadhu. This role involves quality control and analysis of large-scale proteomic data generated using affinity-based and mass-spectrometry-based methods. The Research 
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                of mycobacterial enzymes and large protein complexes. Set up and perform cryo-EM experiments, including data collection, processing, and structural analysis. Provide mentorship to students and junior researchers in 
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                clustering—across large registry datasets, generating outputs that inform cancer policy and health service planning. The Fellow will lead specific projects, contribute to north–south data harmonisation 
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                -photon calcium imaging and virtual reality in awake behaving mice. Analyse in vivo large-scale two-photon calcium imaging data sets combined with behavioural data (pupil diameter, speed, motor movements 
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                - “Integration of multimodal large language model and artificial intelligence in internet marketing and consumer behaviour research”. He/She will be required to: (a) design and conduct experiments and data 
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                Agency. The project aims to use energy and air quality modelling, indoor environmental quality data, large health data sets, and co-creation and engagement with schools and other stakeholders to provide 
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                The Research Fellow will work within the Northern Ireland Cerebral Palsy Register (NICPR) and the School of Nursing and Midwifery. The role involves working on high-impact data linkage project 
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                -learning methodologies to create fast emulators of large-scale geophysical models. The specific goal is to develop an emulator of the MIT general ocean circulation model (MITgcm) for a regional configuration 
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                clustering—across large registry datasets, generating outputs that inform cancer policy and health service planning. The Fellow will lead specific projects, contribute to north–south data harmonisation 
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                cutting-edge theories, methods, and computational tools for integrating large-scale, heterogeneous biomedical data across multi-institutional research networks, with a focus on the analytical and