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discoveries into meaningful health outcomes for patients, Singapore, and the global community. For further information, please visit: https://www.ntu.edu.sg/medicine/CMM . We are seeking a motivated Research
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. The successful candidate will join the interdisciplinary Human-Environment Interactions Modeling & Analysis (HEIMA) Lab, and will be supported by full tuition waiver, health benefits, and a competitive 12-month
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system visualization, decision support, and active user participation. The project seeks to deliver a solution that is replicable and adaptable to other territorial contexts. 4.Applicable Legislation and
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Postdoctoral Fellow in Anthropology: Meat, Infrastructure, and Zoonotic Risk on Chinas Belt and Road
Rita Johansen, Senior advisor, UiT -The Arctic University of Norway email: rita.johansen@uit.no Qualifications Required qualifications PhD in Social, Cultural, Visual Anthropology or closely related
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, Cultural, Visual Anthropology or closely related discipline. If you’re at the final stages of your PhD, you may still apply if you have submitted your PhD thesis for doctoral degree evaluation within
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PhD Fellow in Anthropology: Bushmeat, Infrastructure and Zoonotic Risk in Africa–China Contact Zones
). The research will explore how infrastructural development—particularly roads, mining, and urbanisation—shapes hunting, trade, and consumption of bushmeat, and how these changes affect human-animal interactions
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Programme? Not funded by a EU programme Reference Number AE2025-0601 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https
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, theory, and visualizations, under normal operation and in emergencies, to enable monitoring and detection of potential deviations of the system’s operational boundaries and provide decision support to
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, immunohistochemistry (IHC), immunofluorescence (IF), immunoblotting (Western blotting), and cell sorting. Microscopy Expertise: Advanced skills in confocal microscopy to visualize cellular structures and interactions
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algorithms needed to model complex physical, chemical, engineered and biological systems. ORNL’s computational science research focuses on extreme scale computing and data analysis, storage, visualization