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wastewater to tackle the environmental threat of AMR. You will have a PhD (or close to completion) in modelling complex systems or a closely allied discipline along with experience in creating, writing
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wastewater to tackle the environmental threat of AMR. You will have a PhD (or close to completion) in modelling complex systems or a closely allied discipline along with experience in creating, writing
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: completed scientific higher education degree (PhD) in the field(s) of Earth system science, physics, climate physics, geosciences, mathematics, computer science or a comparable field demonstrated experience
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: completed scientific higher education degree (PhD) in the field(s) of Earth system science, physics, climate physics, geosciences, mathematics, computer science or a comparable field demonstrated experience
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to illness, parental leave, clinical service, trade union duties or similar circumstances. The PhD degree should be in a computational or life science field, such as bioinformatics, ecology, mathematics
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University of British Columbia | Northern British Columbia Fort Nelson, British Columbia | Canada | 28 days ago
: · PhD in Mathematical Biology, Ecological Modeling, Economics, Fisheries Science, or a related field. · Strong background in ecological and/or economic modeling, population dynamics, and quantitative
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ecological systems with frequency-dependent selection. Planned projects use dynamical systems, stochastic differential equations and agent-based models, statistical methods for parameter inference, network and
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profile Completed PhD degree in mathematical modeling preferably in the field of evolutionary ecology. Experience with developing mathematical models preferably in the field of evolutionary ecology (e.g
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dynamics, as it governs key processes like energy balance, turbulence, and thermal structure, directly influencing ecological and biogeochemical responses. However, modeling these dynamics globally remains
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models of interacting ecological and evolutionary (eco-evolutionary) processes. You will conceptualize and model the complexity in which ecological divergence and speciation drive an adaptive radiation