Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- Argonne
- NEW YORK UNIVERSITY ABU DHABI
- Technical University of Denmark
- Technical University of Munich
- University of Oxford
- ;
- Cornell University
- European Space Agency
- Stony Brook University
- Aalborg University
- Heriot Watt University
- King Abdullah University of Science and Technology
- Leibniz
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Stanford University
- Texas A&M University
- Umeå University
- Brookhaven Lab
- CEA
- CWI
- Centre for Genomic Regulation
- Chalmers University of Technology
- Florida International University
- Forschungszentrum Jülich
- Ghent University
- Linköping University
- Los Alamos National Laboratory
- Manchester Metropolitan University
- Massachusetts Institute of Technology (MIT)
- Max Planck Institute for Dynamics and Self-Organization, Göttingen
- National Renewable Energy Laboratory NREL
- Northeastern University
- Nottingham Trent University
- Oak Ridge National Laboratory
- Princeton University
- Rutgers University
- The Ohio State University
- The University of Arizona
- UNIVERSITY OF HELSINKI
- University College Cork
- University of California Berkeley
- University of Delaware
- University of Lund
- University of Minnesota
- University of Southern California
- University of Southern Denmark
- University of Tübingen
- University of Virginia
- WIAS Berlin
- Wageningen University and Research Center
- Yale University
- 42 more »
- « less
-
Field
-
of decarbonization policy pathways for electric power systems. Desired experience includes optimization and simulation of electric power systems under uncertainty, programming in Python, Julia, and/or MATLAB, and
-
. This position requires excellent computational and data management skills. The position will also require the ability to collaborate with other researchers on other center themes, such as Mobility and Uncertainty
-
weather events such as floods, droughts, and heatwaves, integrating probabilistic approaches to account for uncertainties. Use data assimilation techniques to combine observational data with AI models
-
simulate wind and solar forecast uncertainties on pan-European level, leveraging latest machine learning weather forecast models Apply machine learning methods to forecast day-ahead and balancing market
-
research themes: mobility, uncertainty, and fairness. The successful applicant will contribute to interdisciplinary research centered on these three themes. The themes are closely linked to one of NYU Abu
-
evaluating data visualization techniques for communicating statistical information, especially uncertainty information, to wide audiences. Candidates will draw on expertise in data visualization and HCI, and
-
with doing statistical analysis (ie sensitivity or uncertainty) Must have graduated with a PhD degree in chemical engineering or related field within the last three years. Preferred Qualifications
-
include: adaptive planning approaches to address climate uncertainty; urban drought resilience; and water affordability. The postdoctoral fellow will work with Prof. Fletcher to design a research project of
-
, data science, mathematics, or closely related fields (e.g., physics) Demonstrated experience with data science, especially statistical hypothesis testing, uncertainty quantification, pattern analysis
-
are essential. The position will also require the ability to collaborate with other researchers on other center themes, such as Fairness and Uncertainty, and contribute to a comprehensive understanding of urban