Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- CNRS
- Ghent University
- University of Oslo
- Yale University
- Agencia Estatal Consejo Superior de Investigaciones Científicas (CSIC)
- Georgia Southern University
- Japan Agency for Marine-Earth Science and Technology
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Mediterranean Institute of Oceanography
- University of California Irvine
- University of California, Merced
- University of California, Santa Cruz
- University of Connecticut
- University of Hamburg
- University of Washington
- 5 more »
- « less
-
Field
-
regional ocean/ice/biogeochemistry models (OBMs) applied to Arctic coastal seas, the properties of terrigenous sediments are rarely integrated into physical and biogeochemical processes. To address this gap
-
research in a wide range of academic fields, Ghent University is a logical choice for its staff and students. The MarSens (Marine Optics and Remote Sensing group, https://www.marsens-ugent.be/ ) investigates
-
-atmosphere dynamics. We will build an AI-enabled modeling system that couples a GPU-optimized ocean model with a biogeochemical module and AI-based, kilometer-scale atmospheric forecasts. This system will
-
of carbon, nitrogen and phosphorus and their internal cycling between minerals, soils (incl. microbes) and plants. We will use the model to simulate the evolution of biogeochemical cycles under shifting
-
information, please visit the our website . The role and the team We invite applications for a Postdoctoral Researcher position in environmental, climate and ecological modelling, as part of the MacroHolos and
-
and ocean alkalinity enhancement (OAE). The successful candidate will lead field, laboratory, and modeling studies that quantify the biogeochemical impacts of alkalinity addition in coastal ecosystems
-
(Fortran, Python, etc.) with Linux ; - good knowledge of land surface models like ISBA and interest in learning to use permaFOAM - interest for physical and biogeochemical processes in permafrost soils
-
-atmosphere dynamics. We will build an AI-enabled modeling system that couples a GPU-optimized ocean model with a biogeochemical module and AI-based, kilometer-scale atmospheric forecasts. This system will
-
to contribute to the development of a regional, high-resolution (80 m) configuration of the global ECCO-Darwin model (Carroll et al., 2020; www.ecco-group.org ; https://darwinproject.mit.edu ). The selected
-
Infrastructure? No Offer Description The postdoctoral researcher will contribute to the implementation of the FLUOREAL project, which aims to better understand the ecological and biogeochemical dynamics of per