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of relevance: Documented expertise and skills in mathematical modelling of community dynamics is a requirement, and proficiency in statistical time series analyses in community ecology is desirable. Skills in
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iterative refinement of predictive models. The clinical population ensures that multi-omics insights are directly translated into actionable models and patient-centered strategies Expected outcomes Predictive
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iterative refinement of predictive models. The clinical population ensures that multi-omics insights are directly translated into actionable models and patient-centered strategies Expected outcomes Predictive
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University of British Columbia | Northern British Columbia Fort Nelson, British Columbia | Canada | 2 months 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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create an open, collaborative environment that will help promote life science research both nationally and internationally. The Giustacchini group , based within the Population and Medical Genomics Centre
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and Environmental Studies is looking for a highly motivated and independent individual to work as a Postdoctoral Associate. This position is for a post-PhD trainee preparing for a research scientist
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unfold your skills, we have just the right job for you. Within the next 25 years the world’s population will need up to twice the amount of protein compared to today. Topped by the climate crisis, we need
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for a hard-working candidate. Qualifications Required skills A PhD degree within statistical genetics, applied mathematics, computer science, medicine, psychology, molecular genetics, or similar. Advanced
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. The postdoc will develop mathematical models based on biophysical processes, in combination with available data. The postdoc will also contribute to a literature synthesis on ecosystem services in agrivoltaic
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(community interventions, community-based participatory research, meta-analysis and bias in research, RCT methods, causal interference, mathematical modeling, and econometrics) Policy research related