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. Their specialized research focus will involve network science, statistical inference, and causal inference on networks, as well as the analysis and modeling of complex systems and social networks using advanced
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the following areas: introduction to crime analysis; advanced crime analysis; intelligence analysis; crime mapping (using GIS software); data management; quantitative social network analysis; program
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position as Research Associate / PhD student (m/f/x) Integrating Material Flow Analysis and Digital Twin Approaches to Enable Material Autarky in the Construction Industry (subject to personal qualification
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. Maintaining existing partnerships, expanding the scientific network, and ensuring international cooperation. Science-based teaching in applied higher education curricula in waterway management and safety, in
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About the role: The Costa Laboratory (https://profiles.imperial.ac.uk/t.costa ), in the Department of Life Sciences (https://www.imperial.ac.uk/life-sciences ), Imperial College London, invites
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, and go-live support. Experience troubleshooting clinical application issues and collaborating with infrastructure, network, or vendor teams to resolve system problems. Experience supporting interfaced
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grounded in the Critical Incident Technique. Qualitative data analysis using thematic and content analysis approaches with appropriate software (e.g., NVivo). Participatory co‑design research through focus
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, utilisation and sequestration, carbon loop, carbon footprint analysis, etc.) Sustainable Environment (climate change, ecosystem restoration, hazard mitigation, waste management, water treatment, desalination
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analysis, and budget management. Preferred Experience: Experience in an academic/higher education setting. Required Skills, Knowledge and Abilities: Excellent interpersonal, organizational, analytical, and
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duties include data collection, data analysis, agent based modelling of social epistemic networks, and the writing of research articles that form part of the fellowship program. The teaching duties involve