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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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MRC DiMeN Doctoral Training Partnership: Exciting PhD opportunity - Cracking the RNA Code of Inflammation: A New Frontier in Ageing Research MRC DiMeN Doctoral Training Partnership PhD Research
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BBSRC Yorkshire Bioscience DLA Programme: The role of long non-coding RNAs in guard cell function and development School of Biosciences PhD Research Project Competition Funded Students Worldwide Dr
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to carry out high-performance numerical simulations using our in-house CFD code, extract physical insights from simplified flow models, and characterise synchronisation thresholds and the robustness
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Efficient coding in touch: Exploring cortical feature tuning in the somatosensory system through the lens of efficient coding School of Psychology PhD Research Project Self Funded Dr Hannes Saal
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families of quantum codes such as permutation invariant codes and some bosonic codes. This PhD will explore the theoretical application and optimisation of these quantum codes for quantum technologies
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, but not essential. This project will involve a mix of analytic and numerical work; therefore strong technical skills in both pen-and-paper calculations and coding using either Python or Mathematica
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wind sector needs. You will receive in-house training on multiphase DEM–LBM modelling and code development using the HYBIRD framework within the Geotechnical Engineering Group. Additional training in
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and coding using either Python or Mathematica are essential. Experience with a computer algebra system such as Mathematica is an advantage. We are also looking for good written and verbal communication
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for (including our assessment rubric); details of financial support, training, and placement opportunities available; and details of our recruitment process, can be found at https://accedtp.ac.uk/, in