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Research Fellow in Geosolutions: Subsurface Imaging and Uncertainty for Georesources This role will be based on the university campus, with scope for it to be undertaken in a hybrid manner. We are
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operation. The project will explore the commercial opportunities to adopt and scale up networked energy hubs as virtual power plants to deliver creative, predictable, and cost-effective use of electric power
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and long-term health of offspring in pregnancies complicated by maternal diabetes. The post holder will be expected to conduct experiments using a combination of human clinical samples, mouse models
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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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makers is desirable. We are open to discussing flexible working arrangements. To explore the post further or for any queries you may have, please contact: Professor Dan Marsh , Priestley Chair in
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travel schemes are also available. And much more! To explore the post further or for any queries you may have, please contact the METH-POL project team at: methpol@leeds.ac.uk
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that this post may be suitable for sponsorship under the Skilled Worker visa route but first-time applicants might need to qualify for salary concessions. For more information please visit: www.gov.uk
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universities? The post is available immediately and is for two years in the first instance. This is an exciting opportunity to join a thriving team of researchers. You will be part of a large team which has a