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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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. 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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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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pattern including annualised hours, compressed working hours, part time, job share, term-time only and/or hybrid working. Details of preferred hours should be stated in the personal statement and will be
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and analysis. Developing statistical models and code to run the proposed methods. Developing and running simulation-based analyses of the new methods. Main Duties The responsibilities may include some
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activities are required. Knowledge of aerospace aerodynamics, compressible flow, as well as engineering programming is essential. Experience in aerospace CFD aerodynamics, optimisation methods, high
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working will be considered, including compressed or part-time hours. Contract type: Fixed term contract Fixed Term Period: Until 31 July 2028 Salary: Full time starting salary is normally in the range
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Machine learning/AI based classifiers Proficiency in coding using R and Python and other similar languages High level analytical capability Ability to communicate complex information clearly Informal
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research or industry experience will also be considered. Good statistical and analytical skills are necessary, ideally with the ability to work in R and experience with bioinformatic tools/software. Coding