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expertise in using numerical models to simulate aerosol-cloud interactions. Experience of Large Eddy Modelling will be an advantage but is not a requirement. You will have: Experience of numerical models
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The School of Computer Science and Informatics is seeking to appoint an individual to work on rigorous methods to address the risks of generative AI systems. The primary focus will be on techniques
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, sequencing, automation, imaging, and bioprocessing. GBI will also have access to substantial compute resources that can be leveraged to further accelerate progress, including scientific compute, bioinformatics
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candidate will undertake research duties to support the work programme of the Impact Delivery project ‘Tool for quantifying the long-term thermal imbalance of ground-source heat pumps’, including creating
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methods of convex and nonsmooth analysis and optimization, as well as the theory of monotonic operators, and is able to actively participate in research projects in these areas. The contract start date is
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, to deliver the final stages of this multi‑year research programme and support the production of high‑quality scientific outputs. About you- You will bring strong data analysis skills, including
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computational models of human intrinsic motivation and testing computational models using empirical methods online or in-lab testing of human behaviour. They will independently manage their academic and
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FLEXPART model, you can also propose your own research topics. These could be, for instance, theoretical and numerical improvements of FLEXPART, development of new application fields for the model, or novel
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-technical audiences. You will bring a strong commitment to ethical, inclusive and impactful research. Experience applying geospatial methods in applied, interdisciplinary or health-related contexts is
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improve malaria surveillance and control. Given the multidisciplinary nature of the project we welcome applications from candidates who hold a PhD in a range of fields including computer