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training in a wide range of multidisciplinary skills including genetics, cell biology, live imaging, molecular biology, computational modelling, data analysis, scientific writing and communication as
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Magnetic Nanodevices for Energy-Efficient Neuromorphic Computing (S3.5-CMB-Hayward) School of Chemical, Materials and Biological Engineering PhD Research Project Competition Funded Students
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(UKCRC)/ Modernising Medical Careers (MMC) integrated academic training pathway. The post forms an integral part of the Gastroenterology clinical training programme led by Dr Sampath Kumar (Training
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project offers a unique opportunity to apply cutting-edge computational methods to a fundamental challenge in reproductive biology: understanding why human embryos fail. As delayed childbearing becomes more
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Mitigating Healthcare Misinformation: Fact-Checking Spoken Medical Claims Using Textual Evidence (S3.5-COM-Zhang) 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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Longitudinal, Multilingual, and Multi-format Investigation and Detection of LLM-Generated Disinformation School of Computer Science PhD Research Project Directly Funded Students Worldwide Prof
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and a Masters, or a Distinction at Masters level with any undergraduate degree (or international equivalents) in Computer Science, Engineering, Physics, or Mathematics and Statistics, we would like
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, and computational biology. You will gain hands-on experience in plant disease phenotyping, genetic transformations, and high-throughput sequencing technologies (ONT, ATAC-seq, Hi-C, RNA-seq). You will
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spanning mathematics, engineering, and physics. You will also collaborate closely with an ongoing PhD project in MAC focused on improving computational models of AGS flows. The project includes training in