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Início da mensagem encaminhada:
De: "Goodfellow, Anne Marie"
<a.goodfellow@xxxxxxxxxxxxx<mailto:a.goodfellow@xxxxxxxxxxxxx>>
Data: 6 de novembro de 2018 16:21:03 GMT-8
Para: <OCP-HQP@xxxxxxxxxxxx<mailto:OCP-HQP@xxxxxxxxxxxx>>
Assunto: FW: postdoctoral position at Hopkins Marine Station
Responder A: "Goodfellow, Anne Marie"
<a.goodfellow@xxxxxxxxxxxxx<mailto:a.goodfellow@xxxxxxxxxxxxx>>
A post-doc position at Stanford on population dynamics, fisheries management
and climate focused on Baja California.
Postdoctoral Researcher in population dynamics and fishery management
Hopkins Marine Station of Stanford University
18 months at 100% FTE
POSITION: The Postdoctoral Researcher will lead the modelling/population
dynamics/fishery management research as part of a recently funded NSF project
investigating whether coastal oceanographic variability gives rise to local
refuges that can be harnessed to increase the resilience to climate change of
ecologically and economically important species in the southern California
Large Marine Ecosystem, off Baja California, Mexico. The project merges
disciplines and will involve fishers, fisheries managers, and members of
Mexican fishing cooperatives to integrate knowledge of the drivers and outcomes
of local oceanographic variability in fisheries management and conservation
aimed at enhancing the resilience of coastal species and small-scale fisheries
to climate change. Integration of oceanographic and ecological studies will
advance understanding of the effects of oceanographic variability on marine
populations and fisheries. This position is tailored towards a Postdoctoral
Researcher who is interested in engaging in interdisciplinary research.
We seek an enterprising Postdoctoral Researcher capable of working in diverse
settings, and as part of interdisciplinary, international teams. The Postdoc
will lead the modelling analyses and will work with team members to integrate
experiments, oceanographic and ecological monitoring in synthetic analyses and
models. The ideal candidate will have the following skills:
* In depth knowledge of population ecology and fishery management
* Documented experience in modelling population dynamics and, in
particular, in computer simulations of fishery management by using a variety of
approaches, such as integral project models, spatial dynamics, couple
ecological-oceanographic models, agent base modelling, etc. R is the preferred
programming language, but knowledge of other programming language, such as
Matlab and Python will also be valuable.
* Documented experience in the application of cutting-edge statistical
approaches to data analysis, time series, spatial analysis, model
parameterization, and maximum likelihood estimation.
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Attachment:
Postdoc_Position_HMS.docx
Description: Postdoc_Position_HMS.docx
