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, from viruses to vertebrates. PhD: 3-4 years full-time; 5 years part-time; MSc (Research): 1 year full-time; 2 years part-time; Apply now Research projects Research projects Evolution of ecological and
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) in AI for Equitable Disease Modelling to join the GeoAI for Health Equity Lab (GAHEL, pronounced “gail”) led by Dr. Sabrina Li. The PDRA will contribute to Dr. Li’s UKRI-funded Future Leaders
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conservation behavioral ecology of avian species. The selected candidate would ideally collaborate with faculty across broad fields (e.g., wildlife conservation, behavioral ecology, psychology, disease ecology
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to identify the historical, structural, and contextual drivers of disease risk and inequity, and map pathways and interactions among determinants to inform disease mapping and modelling. The RA will lead the
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disease ecology and epidemiology. This includes reviewing relevant literature, formulating models from first principles, initial model evaluation, parameter estimation, sensitivity analysis, and model
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CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto | Portugal | 18 days ago
: Environmental sciences Admission requirements: The candidate must hold a PhD in Biology, Ecology, Environmental Sciences, or closely related fields; Demonstrated expertise in ecological modelling, experience in
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spans animal evolutionary ecology, molecular ecology, and modelling of complex systems, and obtain interdisciplinary training in state-of-the-art approaches and techniques, which are highly south-after by
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UCLouvain, in a team working on the geography of health using a range of modelling tools and on a diversity of systems, and partly in UdeM in a team focused on disease ecology, in particular of tick-borne
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have 2 PhD positions available, within the Dutch-Danish project Robotic Intercropping , within the focus areas ‘Agro-ecological Potential’ (position #1) and ‘Ecological Interactions Among Plants
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secondary production. Manage and analyze long-term ecological databases. Apply advanced statistical methodologies (e.g., GLMs, GAMs, PCA, long time series). Modeling of biodiversity trends, secondary