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-scale around the Arctic, in addition to the behaviour of the region¿s marine terminating glaciers using optical, SAR, DEM and/or altimetry data. This work will help address research questions related
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, data-limited, and dynamically evolving environments. Applications include complex engineered systems such as intelligent communication networks, distributed computing platforms, and quantum-enhanced
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individual and collaborative research projects Contribute to writing bids for research funding Collect, analyse and interpret data related to the research project Apply knowledge in a way which develops new
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platforms, and contribute experimental data to support and validate computational models within the wider ThromboRisk framework. The project will be based at UCL under the supervision of Professor Stavroula
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to cutting-edge data from the Euclid mission to derive constraints, in particular, on dark energy and modified gravity models. The work will involve techniques such as differentiable programming and emulation
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motivated and highly skilled Data Scientist with strong expertise in data linkage, integration, and master data management to join our team, and work within NHS England Data Linkage Hub on a temporary
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Development for more information. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria Fluency in English Strong skills in
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the week from home. Closing: 09:30am (GMT), Wednesday 26th November 2025. The Ada Lovelace Institute is hiring a qualitative Researcher to support our research on the impacts of AI and data on people and
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variety of customer queries. While full training will be given for all of the relevant Universities' computer systems, competent knowledge of Microsoft Office including Excel is essential for the role. In
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of the relevant Universities' computer systems, competent knowledge of Microsoft Office including Excel is essential for the role. In addition, you should be well-organised, and proactive, have an engaging