Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Chalmers University of Technology
- University College Cork
- Rutgers University
- Chalmers tekniska högskola
- King Abdullah University of Science and Technology
- Leibniz
- Nature Careers
- Oak Ridge National Laboratory
- Technical University of Denmark
- University of Southern Denmark
- Auburn University
- Cornell University
- Florida Gulf Coast University
- Georgia Southern University
- NIOZ Royal Netherlands Institute for Sea Research
- National Aeronautics and Space Administration (NASA)
- Roskilde University
- Stanford University
- Texas A&M AgriLife
- University of California
- University of California, Merced
- University of Florida
- University of London
- University of Maine
- University of North Carolina Wilmington
- University of Rhode Island
- University of South Carolina
- University of Sydney
- University of Washington
- Université de Caen Normandie
- 20 more »
- « less
-
Field
-
. We are seeking a Postdoctoral Research Associate for Coastal Processes with expertise in civil and environmental engineering and experience in community engagement activities in the context of coastal
-
proficient in community-engaged qualitative research and have an understanding of coastal and environmental monitoring to work in-depth on the ecology, values, and futures of sustainable coastal redevelopment
-
artificial intelligence (AI). The successful candidate will play a key role in developing a multi-modal generative AI framework aimed at exploring how coastal wetland ecosystems across the Southeastern
-
have an understanding of coastal and environmental monitoring to work in-depth on the ecology, values, and futures of sustainable coastal redevelopment. They will also be excellent communicators with
-
part of a new institute initiative called TropEcS "Modelling socio-economic dimensions across Tropical Coastal Ecosystems and the Earth System", which attempts to investigate how socio-economic processes
-
generated from coastal diatom bloom. Utilize high-performance computing to process raw transcript data, conduct functional and taxonomic identification of contigs and perform statistical hypothesis testing
-
tolerance of a range of species with broad phylogenetic representation to reflect both the history of algal evolution as well as modern coastal ecosystems subject to both hypoxia and anoxia. Thus, the goal is
-
in the areas of Hydrological and Earth System Modeling and Artificial Intelligence (AI). The successful candidate will have a strong background in computational science, data analysis, and process