220 computer-programmer-"https:" "https:" "UNIS" "https:" "https:" "https:" "https:" "UNIV" "Univ" positions at University of Birmingham
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reports to develop computational models that predict identification reliability. They will learn to design interpretable, legally robust AI systems, including attention-based deep learning models and
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the people who work here to develop through our sector-leading Birmingham Professional programme which provides all professional services staff with development opportunities and the encouragement to reach
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job description please click here: https://www.birmingham.ac.uk/collaborate/enterprise/enterprise-jobs For informal enquiries please contact Sam Hickman, Head of Academic Commercial Services
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Status Full-time Is the job funded through the EU Research Framework Programme? Horizon Europe - MSCA Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you a
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sector-leading Birmingham Professional programme which provides all professional services staff with development opportunities and the encouragement to reach their full potential. With almost 5,000
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work closely with the Grade 8 Qualitative Research Fellow and contribute to broader interdisciplinary activity across the Professorship programme. There may be occasional contributions to related
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Domestic Abuse Plan. Research Questions: How are emerging technologies, such as IoT devices, GPS trackers, AI-generated media, and platform-based tools, used to conduct digital surveillance, harassment, and
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. Due to funding stipulations set by UKRI, we are able to recruit up to 30% of international applicants to the cohort each year. You can find further details at https://www.centre-ub.org/studentships
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organising of the research programme and/or specific research project • Co-ordinate own work with others to avoid conflict or duplication of effort • Knowledge of the protected characteristics
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of three tree species (Oak, Ash and Silver Birch) through applying ‘speed breeding’ conditions (https://doi.org/10.1007/s10681-024-03300-x ) as a tool to enable future breeding programmes in these species