Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- University of Oslo
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- University of Kansas Medical Center
- Zintellect
- ;
- George Mason University
- Imperial College London
- Lunds universitet
- NORCE Norwegian Research Centre
- UNIVERSITY OF NOTTINGHAM NINGBO CHINA
- UNIVERSITY OF SOUTHAMPTON
- University of Aberdeen;
- University of Birmingham
- University of Nottingham
- 4 more »
- « less
-
Field
-
for spatiotemporal data (e.g., CNNs, LSTMs, Transformers, or Graph Neural Networks). Hybrid modeling: Experience with physics-informed machine learning or the integration of ML with data assimilation/multivariate
-
are seeking a highly motivated candidate to strengthen our enthusiastic research group, Data Assimilation and Optimization, working at the forefront of ensemble-based data assimilation methodology, optimization
-
development work could focus on moving towards hyper-resolution land surface representations, assimilation or observations, or downscaling and improvement of forcing data. Location: Jet Propulsion Laboratory
-
reliance on assimilative pathways and stay-or-leave dichotomies by offering a unified, theory-driven account of how individuals regulate aspirations, use resources and pursue opportunities in dynamic
-
on assimilative pathways and stay-or-leave dichotomies by offering a unified, theory-driven account of how individuals regulate aspirations, use resources and pursue opportunities in dynamic environments. Second
-
the field’s reliance on assimilative pathways and stay-or-leave dichotomies by offering a unified, theory-driven account of how individuals regulate aspirations, use resources and pursue opportunities in
-
reduction, with an emphasis on maintaining physical consistency, numerical stability, and real-time data assimilation within reduced-order models. Primary application areas include computational physics and
-
assimilation, machine learning, and seasonal weather forecasts. As a Postdoctoral Research Fellow, you will play a crucial role in developing and testing statistical models for the accurate forecasting
-
to revolutionize agriculture in Morocco by combining cutting-edge technologies, including crop growth models, remote sensing data, data assimilation, machine learning, and seasonal weather forecasts. As a
-
analysis, PDE-constrained optimization and optimal control, numerical analysis and scientific computing risk-averse and fractional models, digital twins and data-assimilating models, machine learning and