Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- National Aeronautics and Space Administration (NASA)
- Boise State University
- CNRS
- Cornell University
- Harvard University
- Inria, the French national research institute for the digital sciences
- Institutionen för biologi och miljövetenskap
- KTH Royal Institute of Technology
- Northeastern University
- Rutgers University
- Stanford University
- Texas A&M University
- University College Dublin
- University of California
- University of Groningen
- University of North Carolina at Chapel Hill
- University of Potsdam
- Washington State University
- 9 more »
- « less
-
Field
-
Environmental Science and Technology Consortium) project, supporting the operation, evaluation, and development of AIRPACT (https://airpact.wsu.edu/), the regional air quality forecast system that provides daily
-
help reduce uncertainties in climate forecasts and better assess the effects of aerosols on atmospheric systems. The postdoctoral researcher's mission will be to develop and improve the WRF-Chem model
-
forecasting and predictive modelling Biodiversity change in human-modified landscapes The specific research focus is open to development together with the successful candidate, and may connect with ongoing work
-
body of work on the many characteristics associated with fertility. Despite this, we are poorly able to predict individual-level fertility and forecast future levels of fertility. The postdoctoral
-
description Work on EU projects to develop next‑generation transport, emission and health forecasting models by integrating deep learning, xAI, and diverse data sources such as traffic sensors, smart‑card data
-
The QUBIC project is a strategic initiative aimed at advancing quantum computing to address critical challenges in high-impact sectors including weather forecasting and energy. The primary aim
-
Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | about 2 months ago
machine learning. Gathering this large panel of skills, the team aims at improving our understanding, reconstruction and forecasting of ocean dynamics, and more specifically to bridge model-driven and
-
individuals with expertise in one or more of the following areas: Generative AI Agentic AI Graph Representation Learning and Modeling Foundation Models Large Language Models Multimodal Learning Forecasting
-
are looking for an engaged, enthusiastic, and curious person who is passionate about understanding, forecasting, and mitigating the impacts of climate change on biodiversity. We particularly welcome researchers
-
, Droughts, and Desertification Water-Related Hazards Climate Change and Adaptation Strategies Integrated coastal zone management (ICZM) Water information, knowledge and decision systems Forecasting and