225 assistant-professor-computer-science-data-"https:"-"https:"-"https:"-"https:"-"UCL" positions at University of Birmingham
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Bioinformatics Education 107116 Assistant Professor (Education) in Health Data Science Education 107113 Academic Development Programme - new Assistant Professors will undertake a development programme. The
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Bioinformatics Education 107116 Assistant Professor (Education) in Health Data Science Education 107117 Academic Development Programme - new Assistant Professors will undertake a development programme. The
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ground engineering, including AI-driven asset management, predictive maintenance, autonomous inspection, computer vision and sensing technologies. The successful candidate will be expected to create and
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Data Science Education 107113 Assistant Professor (Education) in Health Data Science Education 107117 Academic Development Programme - new Assistant Professors will undertake a development programme. The
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Data Science Education 107113 Assistant Professor (Education) in Health Data Science Education 107117 Academic Development Programme - new Assistant Professors will undertake a development programme. The
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College of Biomedical Engineering We offer: Undergraduate Programs: Biomedical Engineering (National First-Class Major) Medical Information Engineering (Provincial First-Class Major) Graduate Program: First
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Job Description Position Details School of Computer Science, College of Engineering and Physical Sciences Location: University of Birmingham, Edgbaston, Birmingham UK Full time starting salary is
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potential progression once in post to £63,606 Grade: 8 Full Time, Permanent Closing date: 14 April 2026 5 Positions Available Academic Development Programme - new Assistant Professors will undertake a 5-year
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at The University of Birmingham invites applications from exceptional and ambitious biological scientists for the role of Assistant or Associate Professor in Oral Biology. The successful applicant will join a highly
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future of formulated polymers. We are seeking a Research Fellow in Computational Chemistry and AI/Machine Learning to advance the state of the art in understanding the degradation and biodegradation