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#JPF03026 National Center for Ecological Analysis and Synthesis / Office of Research / UC Santa Barbara Position overview Position title: NCEAS Gulf Ecosystem Initiative Postdoc Salary range: A reasonable
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underwater acoustics and marine ecology. CMST pioneers innovative methods to monitor and manage marine environments. We measure, monitor, model, and predict anthropogenic noise. We are experts in sound
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modelling studies (Sentis et al. 2017, Ecology Letters; Dijoux et al. 2024, Ecology Letters) and will utilise our on-site mesocosm facility (Duchet et al. 2024, Water Research; Duchet et al. 2025, Journal
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Description We invite applications for a fully funded PhD position within the DFG Priority Programme SPP2389. https://tu-dresden.de/mn/biologie/allgemeine_mikrobiologie/spp2389?set_language=en
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24.02.2026 Application deadline : 06.04.2026 The Faculty of Science at Tübingen University invites applications for a Tenure-Track Professorship (W1 to W3) in Evolutionary Modelling (m/f/d
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for Applied Marine Ecology and Modelling (for more information see: https://ecos.au.dk/en/researchconsultancy/research-areas/applied-marine-ecology-and-modelling ). The department is, and wishes to continue to
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French National Research Institute for Agriculture, Food, and the Environment (INRAE) | Villenave d Ornon, Aquitaine | France | 2 months ago
be to develop predictive models dedicated to the ecological transition of agriculture. The project extends the understanding of links between metabolism programming and trade-offs with plant
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modelling in transdisciplinary processes in order to examine ecological and socio-spatial change, existing biodiversity governance regimes and develop multispecies ethnographies to better understand
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computational models in pandemic science. These models can be applied in any relevant field! Sociology, Computer Science, Psychology, Game Theory, Immunology, Physics, and/or Ecology. Yes! Any/all of them! We
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Ph.D. in ecology, evolutionary biology, statistics or a related field. Experience with field work and field experiments with plants Experience with statistical modeling and basic statistical concepts