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project partners to develop novel MRV approaches engagement with interdisciplinary team, outreach with mCDR stakeholders Your profile MSc or comparable degree in Environmental Science, Chemistry
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crucial insights. In this project, you will contribute to the development of AI-driven methodologies for experimental fluid mechanics , focusing on: Designing multi-fidelity neural networks for adaptive
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, or development studies. You also need to be able to document that you have funding. In most cases, this means that you must have applied for a position as a PhD candidate at the facully or the public sector PhD
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Met’s Doctoral College community, benefiting from specialist training, collaboration opportunities, and professional development. This is an exciting opportunity for a motivated researcher passionate
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challenges associated with capturing CO₂ directly from ambient air and is suited for candidates interested in combining computational modeling with experimental electrochemistry to develop energy-efficient e
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photoelectrochemistry and nucleic acid detection. Ultimately, the project may contribute to the development of novel biosensor technologies for detecting clinically relevant nucleic acids in healthcare applications
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permeability are developed for viscous-, gravity-, and capillary-dominant cases, and for combined cases. Dissolution of CO2 in water along with capillary, chemical and stratigraphic entrapments are not accounted
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. The goal of this project is to advance gene regulatory network (GRN) inference from multi-omics data by developing novel AI techniques that exploit the knowledge of gene perturbations (experimental design
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years. Award holders will also benefit from a comprehensive professional development, training and mentoring programme delivered through the University of Westminster Graduate School. The School is
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This full time role is available immediately, on a fixed-term basis for 12 months. The University of Exeter Business School has developed a suite of Degree Apprenticeship programmes designed in