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researcher to join the Centre for Sociology of Humans and Machines (SOHAM), which is directed by Professor Taha Yasseri and to join the team working on the IRC-Funded project ANNETTE (Artificial Intelligence
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-centred AI applications. This position is highly interdisciplinary as it supports the advancement of data visualisation, machine learning, and artificial intelligence domains. The Post-Doctoral Researcher
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collaboration across the consortium. Analyse stakeholder input using appropriate frameworks (e.g. thematic analysis, policy benchmarking) to inform consensus-based recommendations. Ethics & Project Management
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interdisciplinary as it supports the advancement of constraint programming, machine learning, and artificial intelligence domains. The Post-Doctoral Researcher will be expected to perform research and development in
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sequencing and analysis. Previous experience with antimicrobials or bacteriocin research. Proficiency in Microsoft Office (Excel, PowerPoint, Word). Specific Requirements Essential Criteria A graduate
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tests and new digital assessments. The successful candidate will have responsibility to conduct all aspects of the data management and analysis of this project and publication preparation within
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Prof. Fiona Newell. The broad interest of the MPAC lab is to investigate how we recognise the things that surround us in our world using our main sensory modalities. We take an experimental approach
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international external stakeholder organizations. Project Title: From Artificial to “Living” Seawalls: Investigating how Sustainable Coastal Infrastructures Contribute to Multispecies Society (Living Coasts) Post
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assessment of antimicrobial activity and validation of biological test compounds in relevant models (in vitro and/or in vivo). Direct experience and a strong understanding of structural analysis techniques
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the transmission of English manuscript verse that will be tested in international archives. Duties: Preparation of data for online virtual research environment Quantitative and qualitative analysis of data and