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development, planning and delivery of research funded by the UKRI MRC. You will also liaise with collaborators from Imperial College London on the design novel stimulators and sensors to use in the neonatal
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Full-time: 35 hours per week Fixed-term: 13 months The opportunity: Conduct original research on neuronal networks underlying the processing of natural visual stimuli, using in vivo large-scale two
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isolated from the air to improve our understanding of biodiversity data capture and of ecological networks. The research fellow will primarily be based at the People and Nature Lab on the new UCL East campus
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The successful candidate will work on the five year, EPSRC funded, Advancing Parallel Mesh Generation and Geometry Representation to Enable Industrially Relevant, High-Fidelity Simulations REMODEL
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computational methods for automatically creating extremely large simulation models faster and better, including mesh generation and boundary condition application. The posts are primarily office based, with some
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us to build/learn generative, probabilistic forward models of users and their physical and computational environments. This will involve modelling sensors, developing dynamic models for control and
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networks bridging metadata, text mining and FAIR data principles Contribute to publications, funding bids, and supervision of students You will have: A PhD or equivalent experience in life science or
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networks bridging metadata, text mining and FAIR data principles Contribute to publications, funding bids, and supervision of students You will have: A PhD or equivalent experience in life science or
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operation of the umFm module unit used in vertical farm which includes handling of soil compost, irrigating of the crops and taking note of the sensors incorporation in the vertical farm inhouse. Job
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committed to promoting equality of opportunity to all. We subscribe to Equality Charter Marks such as the Diversity Charter Mark NI and Athena Swan and have established staff networks such as iRise (Black