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This project is a part of the consortium for Accelerating Impact programme from EPSRC to scale up CO2 electrolyser for CO production, and derisk for further commercialisation. The project aims
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particular, you will develop new computational and methodological approaches for advanced behavioural modelling using large-scale datasets. The successful candidate will have the opportunity to develop new
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discipline with socio-technical dimensions such as Computer Supported Cooperative work and Human Computer Interaction, software sustainability and computational sciences. Significant relevant research
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Research Fellow role embedded within a major externally funded research programme in soil science. You will lead the delivery of synchrotron and X-ray imaging components of a UKRI Future Leaders Fellowship
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of Biostatistics and Health Informatics in the School of Mental Health and Psychological Sciences at the Institute of Psychiatry, Psychology and Neuroscience. The Department has been a major force in the
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, surveys and mixed methods research. Our partnership has been funded by NIHR Health and Social Care Delivery Research Programme for 5 years to undertake cutting edge research investigating the Same Day
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design, data collection, and analysis. Both workshop will be held in one of the project case study countries Essential Criteria PhD in Social Sciences (applicants undertaking PhD and nearing completion
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) plus Bank Holidays* & Closure Days* Generous pension scheme Cycle to Work & Electric Car Scheme Employee Assistance Programme Development opportunities Enhanced family leave Flexible working Retailer
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keeping (essential) Strong expertise in T cell biology (desirable) Proficiency in computational analysis (e.g. R, Python, linux command line) (desirable) Experience in generating and analysing single-cell
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Bachelor’s degree in Computer Science, Electrical/Electronic/Software Engineering, or a related field. A Master’s or PhD degree in relevant areas will be advantageous. Familiarity with the following areas is