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in reviewing, testing, refining, and providing feedback on historical records that are automatically transcribed, coded, and linked using computer algorithms. Support the project and technical team in
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Design and deliver advanced undergraduate and postgraduate courses in areas such as mathematical statistics, machine learning, coding, and algorithmics. Play a pivotal role in programme accreditation
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liquid argon. The analysis of the ProtoDUNE data will help to validate calibration techniques and particle identification algorithms. The candidate should have a good knowledge of particle physics and
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also be involved in improving object reconstruction, such as developing advanced algorithms for tau lepton identification or jet substructure / particle-flow techniques to identify Higgs bosons decaying
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with UAVs for tackling wildfires, including modular, scalable methods with respect to the volume of collected data, to the number of UAVs, data sampling rates, number of sensors, centralised
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, closed-loop algorithm development, or clinical neuroscience is highly desirable. We are looking for someone with: Experience in real-time human data processing Advanced programming skills (e.g., Python
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used by the research team and will test the algorithms already developed by the laboratory and improve them on the basis of their performance to recognise drug induced cell morphologies About You You
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provide large and complex datasets. By applying advanced pattern recognition and clustering algorithms, the aim is to automatically detect coherent spatial domains. These domains represent regions with
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, closed-loop algorithm development, or clinical neuroscience is highly desirable. We are looking for someone with: Experience in real-time human data processing Advanced programming skills (e.g., Python
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successful candidate will primarily work on the development and enhancement of the OASIS model, contributing to new physical parameterisations, numerical algorithms, and/or performance optimisation. They will