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Your Job: Develop AI pipelines that translate -omic signatures into dynamic model parameters Implement reinforcement-learning agents that optimise model performance Collaborate closely with
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commence as soon as possible on a 2-year fixed-term basis, with the possibility of renewal subject to satisfactory performance and funding availability. A highly competitive salary commensurate with
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, which aims to revolutionize solvent-based capture by developing an AI tool to screen over 1 billion solvent formulations. Top candidates will be selected based on performance criteria such as absorption
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Assistant Professor in the School of Chinese Medicine (Ref.:532662), to commence as soon as possible, on a two-year fixed term basis, with the possibility of renewal subject to satisfactory performance and
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on technical performance as well as the associated manufacturing, installation, and maintenance costs. This project will propose newer designs or design modifications to address existing challenges or adapt and
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performance, particularly during extreme events, addressing limitations inherent in traditional meteorological monitoring networks. Methods to be used: The research will focus on the integration of Transformer
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emerged as important predictors of response to immunotherapy. However, the molecular and spatial cues guiding their development remain poorly understood. Your work will include: • Performing spatial
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of MILD combustion. The post holder will be located in Central Cambridge, Cambridgeshire, UK. The key responsibilities and duties are to perform experiments with liquid-fuelled and hydrogen flames, employ
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, offering a consistent, objective, and transparent framework for evaluating circularity performance. Most crucially, it facilitates the identification and evaluation of resource recovery opportunities
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Cambridge, Cambridgeshire, UK. The key responsibilities and duties are to perform experiments with liquid-fuelled and hydrogen flames, employ laser diagnostics, analyse the results, prepare presentations