Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
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
-
. The Section for Wildlife Ecology is situated in Aarhus and employs 35 staff members, including six affiliated with the bat research group. For more information on the Department see: http://ecos.au.dk/en/ What
-
, and ecological plant physiology. Students acquire advanced methodological approaches and participate in international scientific cooperation through scientific meetings and internships at foreign
-
(Rattus rattus): behavior, ecology, and physiology Diversity and metabolic adaptations of endocommensal ciliates in the digestive tract of sea urchins (Echinoidea) Diversity of mitochondria and syntrophic
-
structured data sets within a joint species distribution modelling framework. For more information, see: https://www.helsinki.fi/en/researchgroups/research-centre-for-ecological-change . The Department
-
for a fully funded PhD position within the DFG Priority Programme SPP2389 https://tu-dresden.de/mn/biologie/allgemeine_mikrobiologie/spp2389 . International collaboration The PhD is embedded in a close
-
computational methods, proficiency in R or other applicable software packages, ability to develop scripts for R and Echoview, and statistical modeling. Interest in fisheries, fisheries acoustics, aquatic ecology
-
-month PostDoc position in modelling land-cover change at watershed-scale. Project Overview Deep-C brings together a consortium of experimentalists and modelers to explore the coupled carbon (C) cycling in
-
to launch impactful careers. To learn more about the SCALES Postdoctoral Fellowship Program, visit our program page: https://climate.duke.edu/what-were-doing/scales-postdoctoral-fellows-program/ . Key
-
an interdisciplinary, Pushing the Frontiers grant funded by the Natural Environment Research Council, involving data and models for microbial communities both assembling in the field and constructed in the laboratory