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Field
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position is ideally suited to candidates with a strong interest in root adaptations and molecular cell biology. Applicants must be highly motivated and self-driven, with a PhD in molecular biology or a
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models to assess the environmental impacts of bio-based products and systems using software tools such as OpenLCA. Analyze complex datasets to identify key areas for improvement in environmental
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discoveries on the electrosolvation force. The project will use a range of optical methods to examine the interactions in colloidal and molecular systems and relate the experimental findings to theories
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use a range of optical methods to examine the interactions in colloidal and molecular systems and relate the experimental findings to theories on the electrosolvation force under development in
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molecular structures. Still, the technical difficulties in their widespread identification have resulted in carbon dioxide-mediated carbamylation being significantly understudied as a PTM. Direct protein
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the lab. This work will explore the molecular mechanisms of DNA damage responses and mutagenesis, and how sensitivity and resistance arise in different cancer cells and genetic backgrounds in response
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rigorous, collaborative research aligned with project goals. Develop and apply deep learning models, particularly in computer vision, NLP, and multimodal systems. Publish in peer-reviewed journals and
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) information-theoretic active learning, and c) capturing uncertainty in deep learning models (including large language models). The successful postholder will hold or be close to the completion of a PhD/DPhil in
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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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molecular biology, immunology, microbiology, nutrition, pharmacology, sport science (including biomechanics and an environmental testing chamber), chemical synthesis and analysis, pharmaceutics, specialist