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vary depending on business needs. Flexible working We are open to discussions about flexible working. Whether it’s a job share, part time, compressed hours or another working arrangement. Please reach
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can be tackled. A video describing the project can be viewed here: https://www.youtube.com/watch?v=IzPuuBnrIDc . The successful candidate will be developing Bayesian models for estimating
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and experience leading research are essential. Candidates must have expertise in aerospace aerodynamics, compressible flow, and engineering programming. Experience in CFD, optimisation, HPC, and
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. Whether it’s a part time, compressed hours or another working arrangement. Please reach out to us to discuss what works best for you. About the Role We are seeking to appoint a highly motivated Research
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tools, collaboration with project stakeholders, and engagement with the consortium and Defence and Security stakeholders. Technical Requirements: Strong coding skills with background in machine learning
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methods will include training with data from Africa not normally available for routine forecasting, and we will explore the value of local optimisation or fine-tuning of foundation codes. Handling spatio
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of foundation codes. Handling spatio-temporal statistics of forecast uncertainty will be a key consideration. This kind of downscaling with machine-learning methods is a rapidly advancing field and it is an
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, biomedical engineering, psychology and have excellent coding and data analysis skills. You will be highly motivated, collaborative, interested in technology and interdisciplinary research and willing
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, biomedical engineering, psychology and have excellent coding and data analysis skills. You will be highly motivated, collaborative, interested in technology and interdisciplinary research and willing
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applying their skills do dementia. You will hold a PhD in a relevant area such as neuroscience, biomedical engineering, psychology and have excellent coding and data analysis skills. You will be highly