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Field
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gene networks of individual fern archegonium and seed tissues through single-cell RNA-seq analysis of the Ceratopteris archegonium. Test whether fern genes with regulatory functions in the archegonium
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systems modelling teams to ensure the social science analysis is aligned with systems modelling, to develop evidence-based pathways that inform implementation and policy. The role will focus significant
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economy. Experience in quantitative and qualitative data analysis, particularly in the context of evaluating educational and social programmes. Experience of communicating research to lay audiences. Track
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Design. The UCL Centre for Net Zero Market Design provides independent, evidence-based analysis to inform policies for a rapidly decarbonising UK energy system, with stakeholder engagement to support
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Australian National University | Canberra, Australian Capital Territory | Australia | about 2 hours ago
research and interdisciplinary collaborations through the ANU Integrated AI Network (ai.anu.edu.au), focusing on integrating human and social values into AI systems. Three key research streams are available
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Australian National University | Canberra, Australian Capital Territory | Australia | about 2 hours ago
Australia’s intellectual engagement with the societies, cultures and economies of Asia and the Pacific. Follow the College of Asia and the Pacific on social media: LinkedIn , Instagram and Facebook The Coral
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gene networks of individual fern archegonium and seed tissues through single-cell RNA-seq analysis of the Ceratopteris archegonium. Test whether fern genes with regulatory functions in the archegonium
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 6 hours ago
community at ANU. The successful candidates will join teams working on projects that span core AI research and interdisciplinary collaborations through the ANU Integrated AI Network (ai.anu.edu.au), focusing
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not have been acquired earlier than 2020) * Proven experience in the analysis of multi-omics data (proteomics, metabolomics, and/or genomics, transcriptomics) * * * * Strong expertise in machine
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institutions and industry partners. Our strong network of collaborators provides an ideal environment for translational research and technological advancement Mission Statement Michigan Medicine improves