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. However, microbial fermentation processes are difficult to design, optimise and scale up, especially for complex, and highly variable waste streams. This limits their investment attractiveness and economic
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process in a disease-relevant model in real time. This involves developing cutting edge in vitro and in vivo models that will enable us to identify new targets and optimise existing treatments
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tailored to your career goals. You will have, or be close to obtaining, a PhD in deep learning, computational geosciences, computer sciences, mathematics, or physics, and have experience of developing and
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data, and you will appraise different approaches to properly testing hypotheses of subsurface processes. You will be responsible for leading the development of the approach, which could include