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Applicants should submit a full Curriculum Vitae to include the names and contact details of 2 referees (including email addresses), to: - Dr Matthew Chersich and Prof Cathal Walsh For informal enquiries
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. Applicants are invited to contact Prof. Wang Qixin at telephone number 2766 7266 or via email at csqwang@polyu.edu.hk for further information. Conditions of Service For full-time appointment(s), a highly
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Assistant post should have an honours degree or an equivalent qualification. Applicants are invited to contact Prof. Zhou Xu at telephone number 3400 3624 or via email at zhou.xu@polyu.edu.hk for further
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(STS)/medical sociology and socio-legal studies. The successful applicant will work with Prof. Martyn Pickersgill and join the multi-institution project team for the Wellcome Trust Discovery Award
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conditions. Our work combines traditional statistical methods with advanced artificial intelligence algorithms to identify patterns in disease. We also use qualitative methods to understand lived experiences
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: h.j.wilkinson@bham.ac.uk or, Prof Slava Jankin, Deputy Director IDAI, email: v.jankin@bham.ac.uk . To download the full job description and details of this position and submit an electronic application online
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interaction and analytics using AI. Key Responsibilities: Development of artificial intelligence (AI) technologies to perform human-robot interaction and analytics System integration of the developed algorithms
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development team Interacting with Continental business areas Developing and integrating AI algorithms into the real development progress Preparing academic publications such as patent applications and research
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equivalent qualification in the appropriate discipline plus at least three years’ relevant post-qualification experience. Applicants are invited to contact Prof. You Dong at telephone number 3400 8818 or via
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learning, and data science, focusing on applications within the healthcare, education, and environment sectors. Designs generative AI techniques and algorithms for data integration and computational models