Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Cornell University
- Nature Careers
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- CNRS
- University of California
- Aarhus University
- Duke University
- Leibniz
- Texas A&M AgriLife
- UNIVERSITY OF HELSINKI
- University of Minnesota
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- FAPESP - São Paulo Research Foundation
- Michigan State University
- The Ohio State University
- University of Liverpool
- University of Oslo
- University of South Bohemia
- Utrecht University
- Ghent University
- Harvard University
- Max Planck Institute of Animal Behavior, Radolfzell / Konstanz
- Radboud University
- Sveriges Lantbruksuniversitet
- Swedish University of Agricultural Sciences
- THE UNIVERSITY OF HONG KONG
- Technical University of Denmark
- Technical University of Munich
- Texas A&M University
- The University of Arizona
- Umeå University
- University of Amsterdam (UvA)
- University of Nevada, Reno
- University of New Hampshire
- University of Oulu
- Wageningen University & Research
- Academia Sinica
- Aix-Marseille Université
- Argonne
- Arizona State University
- Atlantic Technological University
- Auburn University
- CMI - Chr. Michelsen Institute
- DURHAM UNIVERSITY
- Delft University of Technology (TU Delft)
- Durham University
- ETH Zürich
- Idaho State University
- Institutionen för akvatiska resurser
- Itä-Suomen yliopisto
- KU Leuven
- Linköping University
- Linnaeus University
- Lund University
- Lunds universitet
- MASARYK UNIVERSITY
- NIOZ Royal Netherlands Institute for Sea Research
- Northeastern University
- Oak Ridge National Laboratory
- Rutgers University
- Stanford University
- Stockholms universitet
- The Rockefeller University
- The University of Iowa
- Tour du Valat
- UiT The Arctic University of Norway
- Universidad de Cantabria
- Universitat Autònoma de Barcelona
- University of Alaska
- University of Basel
- University of Birmingham
- University of Cambridge;
- University of Cantabria
- University of Connecticut
- University of Kentucky
- University of Liverpool;
- University of Lund
- University of North Carolina at Chapel Hill
- University of Southern Denmark
- University of Washington
- Università degli Studi di Trieste
- Université Savoie Mont Blanc
- Univerzita Palackého v Olomouci
- VIB
- Vrije Universiteit Amsterdam (VU)
- Vrije Universiteit Brussel (VUB)
- 76 more »
- « less
-
Field
-
proteins in the ER. The postdoctoral associate will participate in multiple research projects investigating the plant UPR using the model organism Arabidopsis thaliana. Responsibilities include designing and
-
for conservation genomics. The successful candidate will work on developing novel AI models that (i) integrate thousands of genome assemblies and multimodal biological datasets to uncover the genomic determinants
-
scenarios. The research combines field experiments, AI-based analysis of museum specimens, and advanced climate modeling to provide process-based insights into the ecological and economic consequences
-
. Preferred qualifications ● Fluency in fisheries and/or bioeconomic modeling, with experience in spatial fisheries ecology or management strongly preferred; ● Advanced understanding of the biology and
-
qualitative data. ● Familiarity with mental modeling, fuzzy cognitive mapping, concept mapping, or some comparable research techniques. ● Some background in environmental or ecological sciences. ● Demonstrated
-
and optic lobes. These data will be compared with related model species with less complex eyes. Work duties The main duties involved in a post-doctoral position is to conduct research. Teaching may also
-
of annelid evolution across broad spatial, ecological, and temporal scales. Your tasks: Generation of low-coverage whole-genome sequence data in the LIB HH molecular laboratory including genomic DNA extraction
-
for the analyses will be the intervention plans of multi-stakeholder platforms (Ethiopia) and expected behaviors of agripreneurs and farmers (Kenya) using agent-based models; Assess the potential for co-developed
-
the modeling and governance of biodiversity under uncertainty. The project develops process-explicit, hierarchical models that capture key ecological dynamics, integrate diverse and incomplete data sources, and
-
thereby interact with a diverse team of investigators with expertise in marine biogeochemistry, marine microbial ecology and diversity, and physiology of key microbial model organisms. Where to apply