518 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of St" "St" PhD scholarships in United Kingdom
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their skills and interests in this research area to https://warwick.ac.uk/fac/sci/eng/postgraduate/funding/ot_epsrc/app/ via the above 'Apply' button. If this initial application is successful, we will invite
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Autonomy in Demanding and Long-Lasting Environments - https://cradlerobotics.co.uk/ ) and will work closely with Work Package 2 (Architectures) and Work Package 5 (Demonstrators). With support from
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behavioural experimental design and statistical modelling; computer vision and AI techniques; explainable AI and human–machine comparison methods; and responsible innovation. The student will work closely with
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on high-fidelity modelling and test data for both metals and thermo-set composite materials. To achieve this we will explore the use of advanced genetic algorithms and/or Artificial Intelligence (AI
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studies, guide people through immersive experiences and collect behavioural and emotional data. Because of this, the project would suit someone who is confident in people-facing situations and enjoys
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modelling techniques and the embedding of such models within data assimilation frameworks to enable their self-correction. During this project, you will develop expertise in machine learning-based reduced
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process: http://nottingham.ac.uk/ComputerScience/Studywithus/Postgraduateresearch/NottinghamDTCinAI.aspx Entry Requirements: Applicants are normally expected to hold a 2:1 Bachelor’s degree or Master’s
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related discipline. An MSc degree in a relevant area is desirable though not necessary. Previous experience with behavioural and experimental economics, quantitative data analysis, and qualitative research
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considered for this PhD, please follow the instructions here: https://www.centre-ub.org/studentships/application-process/ Fully funded 4-year PhD studentshipat the University of Birmingham. Scholarship covers
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intelligence (AI), which integrates diverse information sources including tabular, imagery, linguistic and acoustic data, has shown transformative potential in domains such as healthcare, environmental