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ultimately shifts in species' distributions. This project harnesses research in ecological and agent-based modelling, machine learning, and AI to increase the predictive power of models of species
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synthetic populations and mobility digital twins for resilient and equitable transport planning. The project combines agent-based modelling, large-scale mobility data, transport networks, generative
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for extension. We are looking for someone to join our team of consumer behaviour scientists and agent-based modellers who can bring knowledge of and experience with modelling cognitive or behavioural
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the integration of both ecological and social data using platforms such as Marxan or prioritizr Experience with agent-based ecological modelling approaches (e.g., using R, NetLogo, or similar) Working
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experience with system dynamics modelling. Experience with agent-based modelling, social return on investment analysis or other analytical frameworks to model social and systemic impacts of social policies
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already available on GPAP. Alongside this project, you will also contribute to LLM post-training and agent development for pathogen analysis, working closely with Dr Harrison Bo Hua Zhu, Professor
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Dalhousie University | Halifax Mid-Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 1 month ago
transportation risk analysis. Experience with passenger flow analysis, crowd dynamics, pedestrian simulation, or agent-based simulation. Experience with safety-critical systems engineering. Familiarity with
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modelling using R. Proficiency in microsimulation and agent-based modeling. Excellent written and oral communication in English. Excellent personal time management, project management and
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-based modelling -individual support for researchers across BlueMat in solving image analysis challenges, especially segmentation and quantitative extraction Your profile -PhD in computer science