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* Theoretical foundations of machine learning The group has strong ties with the Centre for Discrete Mathematics and its Applications (DIMAP), established in 2007 jointly with Warwick Mathematics Institute and
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designed to meet multiple needs in marine biodiversity monitoring. The project aims to develop embedded novel deep learning and computer vision algorithms to extend the system’s capabilities to classify
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the University of Liverpool. As well as gaining a formal HE teaching qualification, you’ll learn key pedagogical skills for the academic job market, primarily through shadowing mentored classroom involvement
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. physics, materials, engineering) are encouraged to apply. The candidate is expected to have a strong commitment to research and should have demonstrated the ability to independently learn new skills
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Nov 18;23(22):14361. Schmalz G, Galler KM. Biocompatibility of biomaterials - Lessons learned and considerations for the design of novel materials. Dent Mater. 2017 Apr;33(4):382-393. Camilleri J, Atmeh
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experience, and should have demonstrated the ability to independently learn new skills. The successful applicant will be based in the Chemistry Research Laboratory, Oxford. Candidates should submit a formal
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a working, learning and social environment in which the rights and dignity of all its staff and students and stakeholders are respected. We recognise the broad range of experiences that a diverse
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Doctoral Academy and Researcher Development team to enhance your research skills and career development. Learn more Bicentenary PhD Studentship Projects Over 30 Bicentenary PhD Studentship projects will be
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including machine learning. This research will support the path to net zero flights and there will be opportunities to become involved in practical aspects of fuel system design and testing during their PhD
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for binding to proteins and their disease inhibitory activity in plants. Led by Dr Andrew Beekman and Professor Wenbo Ma, there is an opportunity to learn medicinal chemistry/chemical biology, protein