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laterally acquired genes linked to seed oil production. The project blends computational biology, epigenomics, and plant functional genetics, offering training in cutting-edge approaches from genome analysis
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, training opportunities or internships in science policy, science communication and beyond. Further information on the programme and instructions on how to apply, including a link to the application portal
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. Due to the interdisciplinary nature of this programme, we welcome applications if your background is in any biological, chemical or physical science or mathematics and are interested in using your
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BBSRC Yorkshire Bioscience DLA Programme: Predicting pathogen evolution: using experimental evolution to understand the impact of phage therapy on Clostridioides difficile School of Biosciences PhD
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Explainable and Causal AI for Visual Analytics in Regenerative and Climate-Smart Agriculture (C3.5-COM-Cruz Villa-Uriol) School of Computer Science PhD Research Project Competition Funded Students
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Computational Astrochemistry/Algorithm development for Quantum Dynamics Calculations School of Mathematical and Physical Sciences PhD Research Project Self Funded Prof AJHM Meijer Application
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l-modular representations of p-adic groups in the local Langlands programme (S3.5-MPS-Kurinczuk) School of Mathematical and Physical Sciences PhD Research Project Competition Funded Students
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respond to climate gradients, drought events, and changing fire regimes. You will gain skills and experience in data science, computer programming, simulation modelling, ecological theory and climate
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Bugging Out: When AI loses the Plot – Detecting and Taming Hallucinations in LLM-Generated Code (S3.5-COM-Wang) School of Computer Science PhD Research Project Competition Funded Students Worldwide
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Using Generative AI to create design fictions for responsible technology innovation (C3.5-COM-Law) School of Computer Science PhD Research Project Competition Funded Students Worldwide Dr James Law