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systems modelling including technical knowledge (e.g., in data science, input-output modelling, applied economic modelling, environmental and ecological assessments, GIS, comparative risk assessments), as
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systems modelling including technical knowledge (e.g., in data science, input-output modelling, applied economic modelling, environmental and ecological assessments, GIS, comparative risk assessments), as
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We seek to appoint a Research Associate (postdoctoral scientist) to join the prolific climate/weather/environmental and impact science community at the University of Oxford, that is interested in
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We’re recruiting for a Postdoctoral Researcher to join us for 12 months to investigate the effects of the environmental pollutant carbon monoxide (CO) on platelet function and signalling: The Role
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/weather observational and modelling products would be of a substantial value. Furthermore, experience with epidemiological modelling and/or attribution of extreme events and their impacts in a changing
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View All Vacancies Reference: UOH-TA-429 Campus: Hybrid Faculty/Area: Faculty of Science and Engineering School/Department: School of Environmental Sciences Subject Group/Team: Geography and
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collaboration using a systems approach to tackle antimicrobial resistance in the environment—involving a feasibility study and system modelling of environmental AMR in wastewater. You will use data on AMR in
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in Environmental Modelling, Land Use modelling or another relevant field, with clear skills highly complementary to those of the JPP4JL research team Proven ability to write code in R or python
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Postdoctoral Research Associate in Forest Resilience, Climate Change, and Human Health in the Amazon
, and socio-environmental modelling. Applications for this vacancy should be made online, and you will be required to upload a CV and supporting statement as part of your application, explaining your
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Postdoctoral Research Associate in Forest Resilience, Climate Change, and Human Health in the Amazon
, epidemiology, and socio-environmental modelling. To be considered a successful candidate; A PhD degree in Ecology, Biodiversity analyses, Environmental Science, Remote Sensing, Epidemiology, Data Science, or a