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Overview Qualification type: PhD Subject area: Control and Machine Learning Location/Campus: College Lane, Hatfield Closing application date: 10 June 2024 Start date: July 2024 or as soon as
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-visible-spectrum reflectance). This project brings together statistical modelling of the data-generating process with machine learning, including deep learning, techniques, to model and predict bumblebee
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Qualifications • PhD awarded (or nearing completion for appointment at Assistant level) in Machine Learning Desirable • Evidence of Continuing Professional Development (CPD) Newcastle University is a global
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-funded project led by Dr. Jagmohan Chauhan in an exciting area of embedded machine learning. The post will be based at the University of Southampton. You will be working with Dr. Jagmohan Chauhan (PI), a
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virtual characters to life, is poised for transformation with the integration of advanced deep learning techniques. This project endeavors to automate the process by understanding the status from
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. The student will benefit from Exeter’s expertise in Statistics, Data Science, and Machine Learning, and be part of a vibrant community of bright PhD students working on environmental problems. The student will
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learning called Machine Listening. The PhD project brings together world-leading audio experts to develop state-of-the-art techniques as a widely-applicable embedding of acoustic environments. Based in
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PhD Supervisor: Antonia Marcu Supervisory Team: Antonia Marcu, Jonathon Hare Project description: Deep Learning (DL) is a widely successful tool. However, there are many fundamental challenges left
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EPSRC CASE Studentship. University of Sheffield and Syngenta Crop Protection Machine learning is increasingly used for decision making and molecular design in the pharmaceutical and crop protection
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We are seeking a creative and enthusiastic senior researcher with expertise in state-of-the-art machine learning to work in a large and successful research group based at the University of Oxford’s