242 assistant-professor-computer-science "https:" "https:" "https:" "https:" "https:" "Dr" positions at University of Birmingham
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, eligibility is restricted to UK nationals. Informal enquiries are encouraged and should be directed to: Dr Richard Horniblow, r.horniblow@bham.ac.uk https://www.engineered-microbiome.co.uk/
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role model and fostering an inclusive working culture. Informal enquiries to Dr Beadling (a.r.beadling@bham.ac.uk ) or Prof Bryant (m.g.bryant@bham.ac.uk ). Where to apply Website https://edzz.fa.em3
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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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geotechnical engineering with an emphasis on digital technologies, computational modelling, smart systems and artificial intelligence. This could cover but is not limited to, research ranging in: Computational
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MidlandsCityBirmingham Postal CodeB15 2TTGeofield Contact City Birmingham Website https://www.bham.ac.uk/schools/engineering Street Edgbaston Postal Code B15 2TT STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn
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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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@bham.ac.uk ) and Dr Rob Beadling (a.r.beadling@bham.ac.uk ) Where to apply Website https://edzz.fa.em3.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_6001/… Requirements Research
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properties. Our group uses theoretical and computational chemistry, physics, and materials science in combination with chemical machine learning to explore and exploit diverse functional organic and hybrid