Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
modelling in transdisciplinary processes in order to examine ecological and socio-spatial change, existing biodiversity governance regimes and develop multispecies ethnographies to better understand
-
forest systems.The position offers the opportunity to work across scales and methods, integrating quantitative risk modelling with empirical field data and applied demonstrations to support climate
-
representation of the relationship between ecological crisis and technoscientific progress across a broad historical span, from the aftermath of the Industrial Revolution to the present day, in francophone
-
Forecasting the Future of Biodiversity: Cutting-Edge Approaches to Population and Community Dynamics
: Applications accepted all year round Details We welcome applications for a PhD in population ecology and demographic modelling within a dynamic, interdisciplinary research group tackling big questions across
-
salmonid fish. Molecular Ecology, 30 (20), 4955–4969, https://doi.org/10.1111/mec.15817 . Jacobs A, Carruthers M, Yurchenko A, Gordeeva NV, Alekseyev SS, Hooker O, Leong JS, Minkley DR, Rondeau EB, Koop BF
-
between Stockholm University and the Beijer Institute of Ecological Economics at the Royal Swedish Academy Sciences. We bring people together from around the world to research, study and collaborate, for a
-
, including knowledge of statistical modelling and R - the ability to acquire external research funding Specific Requirements - programming skills: - R - experience in analysis of ecological data, preferably
-
restoration ecology (see https://www.slu.se/en/about-slu/organisation/departments/department-of-wildlife-fish-and-environmental-studies/ ). The department has many international employees and well-established
-
, to create a responsible and innovative university to serve as a model for the 21st century. Within ICN, the ChemSenSim group (https://lab.chemsensim.fr/ ) develops interdisciplinary research projects
-
world. Through collaborative, data-driven research, we integrate ecological, social, and economic data to develop innovative tools and strategies that support resilient fisheries and communities. Working closely