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data science, computer programming, simulation modelling, ecological theory and climate science, with the potential for fieldwork or ecological experiments in Australia. We welcome applications from
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. This PhD project is set within the Fusion Engineering CDT at The University of Sheffield. Students will receive a 3-month training programme in fusion engineering at the start of the course, delivered across
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phenotyping: You will use remote sensing technology to monitor plant stress use microscopy to visualise root interactions with soil fungi. Computational skills: You will receive training in advanced statistical
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Sublinear time computation through the lens of decision trees, property testing and more
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PhD at the Forefront of Computational Solid Mechanics and Machine Learning School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Dr J L Curiel Sosa Application
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guidelines. Hosted in collaboration with UKAEA, the project will contribute to digital engineering capabilities for the UK’s fusion programme. The primary research questions for the project are; (1) How can a
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(HIE) at Western Sydney University (WSU). The programme focuses on innovations in plant and soil sciences to tackle critical global challenges, building on collaborative links between the two
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Advanced brain-computer interface School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Mahnaz Arvaneh Application Deadline: Applications accepted all year round
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/interview) A degree (Bachelor’s, Master’s, or PhD or equivalent experience) in Software Engineering, Computer Networks, Embedded Systems, AI, Data Engineering, or a related subject (assessed at: application
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novel technology and its application into industry by researching into problem areas to advance basic knowledge and evaluate new techniques to solve those problems. Project management including managing