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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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Advanced Systems-Modelling and Optimisation in Materials Science and Engineering School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof Mahdi Mahfouf Application
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is to perform studies on chick embryos, investigating hypothalamic development. Perform data mining of chick scRNA-seq datasets Participate in weekly project team meetings and attend relevant research
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: climate change, nuclear security etc. One particular application of cosmic-ray muons to be addressed in this project is the identification of materials in cargo. The candidate should have a good knowledge
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: Applications accepted all year round Details It's possible that the 125 GeV Higgs boson discovered by the CERN ATLAS and CMS Experiments is only one of several neutrally-charged Higgs bosons predicted by
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of combining computational mechanics with the power of artificial intelligence? If so, there is an exceptional PhD opportunity for you at the University of Sheffield. You will be at the cutting edge
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is the UK’s national centre for advanced materials research, innovation and commercialisation. The Royce works collaboratively with industry and academia to accelerate the innovation of materials
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Advanced Wind Turbine Control Systems School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof Mohamed Pourkashanian, Prof Lin Ma, Prof Derek Ingham Application
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Smart Computer Models for Nuclear Reactor Design School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof S He Application Deadline: Applications accepted all year
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A search for pharmacological inhibitors of a cancer-associated adhesion GPCR in the zebrafish embryo
Application Deadline: Applications accepted all year round Details Adhesion GPCRs have exciting potential as therapeutic targets for drug discovery. The focus of this PhD project is on ADGRG6 (GPR126