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algorithmic graph theory. The purpose of the role is to contribute to the project "Algorithmic meta-classifications for graph containment", working with Professor Matthew Johnson, Dr Barnaby Martin and
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modelling, advanced AI algorithms, and decision-support tool development for various hydrogen technologies-based energy systems. Responsibilities will include programming, analysing and interpreting data, and
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application. The successful candidate will work at the intersection of multi-disciplinary modelling, advanced AI algorithms, and decision-support tool development for various hydrogen technologies-based energy
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an interdisciplinary team led by Dr Peter Etchells. The successful applicant will be expected to plan and perform genetics, gene expression, and phenotyping aspects of the project. Key responsibilities: To understand
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an interdisciplinary team led by Dr Peter Etchells. The successful applicant will be expected to plan and perform genetics, gene expression, and phenotyping aspects of the project. Key responsibilities: To understand
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development. The research project involves working in an interdisciplinary team led by Dr Peter Etchells. The successful applicant will be expected to plan and perform genetics, gene expression, and phenotyping
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development. The research project involves working in an interdisciplinary team led by Dr Peter Etchells. The successful applicant will be expected to plan and perform genetics, gene expression, and phenotyping