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activities, Dalton early career researcher development and networking, and/or contribute to the Dalton policy group) We welcome candidates who bring diverse perspectives, experiences, and approaches
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value creation. You'll be an ambitious, research-active academic with a passion for connecting scholarship with practice and impact. You will bring: A PhD with a post-doc experience in a relevant field
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, bioRxiv 2026, doi: 10.64898/2026.07.30.741759) for biological systems. You will lead a computational research project extending DMMSs from population-level to single-cell data, combining neural networks
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, more efficient and resilient transport systems and AI enabled circular manufacturing supply chains. Working with researchers, industry partners, and stakeholders, you will develop and apply computational
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) as Art Historical Tool Network Analysis and Cultural Data Human–AI Collaboration in Art Historical Interpretation Digital Provenance Research and Collection Histories Computer Vision for Art Historical
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systems and AI enabled circular manufacturing supply chains. Working with researchers, industry partners, and stakeholders, you will develop and apply computational and AI based approaches to analyse
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exploration. The role includes participation in the training, networking, and secondment activities of the EXPLORA Doctoral Network, and enrolment in a PhD programme at the University of Birmingham. Role
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This project is a part of the consortium for Accelerating Impact programme from EPSRC to scale up CO2 electrolyser for CO production, and derisk for further commercialisation. The project aims
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individuals and communities experience purpose, belonging, and the human spirit. The project forms part of the wider international Can Beauty Save the World? research programme, hosted by the Catholic
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, research institutes, and consortium meetings across Europe, providing excellent networking and professional development opportunities. You will have a PhD (or equivalent experience) in Organic Chemistry