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into practice. Candidate Profile: Minimum MSc degree in AI, Machine Learning (ML), Data Science, or relevant subject with minimum two years of industry experience. A PhD would be desirable. Skills/ experience
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This is an exciting opportunity to join the distinctive, friendly and growing Aston Law School, which is a department within the School of Law and Social Sciences. Aston Law School’s mission is to
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with investment from Research England in 2019. We are a thriving community of over thirty members, from PhD students to professors, and our research is innovative, applied, interdisciplinary and
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-funding from partners including Science Card and Bruntwood SciTech. The funding has been made through the Research Ventures Catalyst (RVC) programme, which was set up to provide funding to take truly novel
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computational genomics, bioinformatics, or genomic data science, with a passion for postgraduate teaching and interdisciplinary research. You will conduct research aligned with your expertise, particularly in
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, or Computer Science and/or a minimum of two years of industry experience of digital transformation in a healthcare setting. A masters’ or a PhD in these disciplines with the same experience is desirable. Skills
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encouraged to pursue a personal research programme consistent with the Schools research priorities and to publish the outcomes of research in outlets of international standing. You will hold a PhD in
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of automating the process of optimising developer productivity in game software development at Electronic Arts Limited. Electronic Arts (EA) was a pioneer of the early home computer game industry and is now a
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nearly 50 staff within it specialising in accounting and in finance and closely related subjects. The finance group manages and delivers a successful and popular undergraduate programme in finance and four
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to their own car or be located nearby public transport links. The proposed system is a novel technology for RFoF, offering PPM a first-to-market opportunity for a novel product to meet a known market need. While