Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Boise State University
- Nature Careers
- CNRS
- Cardiff University
- Delft University of Technology (TU Delft)
- Fondazione Bruno Kessler
- IMEDEA-CSIC-UIB
- Inria, the French national research institute for the digital sciences
- Luxembourg Institute of Science and Technology
- Technical University of Denmark
- University of California
- University of Connecticut
- University of Texas at Arlington
- University of Twente (UT)
- 4 more »
- « less
-
Field
-
Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 7 days ago
the prediction of vehicle flows, energy demand, and flexibility of electric vehicle fleets, with applications to energy and transportation systems. The work lies at the intersection of systems and control, data
-
for a truly circular wind energy sector. A key component of this mission is developing predictive "look-ahead" control capabilities based on LiDAR technology. Your Mission: Advanced LES & Research
-
related to the exchange of momentum, energy, and mass. Significant challenges persist in understanding processes and feedbacks. The Land-Atmosphere Feedback Initiative (LAFI, https://lafi-dfg.de ) is an
-
junior developers and researchers Stay current with the latest developments in Deep Learning frameworks for weather forecasting and climate science. Where to apply Website https://jobs.fbk.eu/Annunci
-
that enhance both ecological and fishing community resilience. The successful candidate will lead efforts to couple a regional MOM6 Northwest Atlantic seasonal ocean forecast with an existing Dynamic Energy
-
related to the exchange of momentum, energy, and mass. Significant challenges persist in understanding processes and feedbacks. The Land-Atmosphere Feedback Initiative (LAFI, https://lafi-dfg.de ) is an
-
/performance trade-offs and typical RAN levers; experience with energy metering data is a plus. • Strong background in AI / Machine Learning for decision-making (e.g., forecasting, optimization with learning
-
modeling approaches-including machine learning (ML), hydrologic and energy systems simulations, and scenario forecasting-to evaluate dynamic energy-water futures and resilience strategies for diverse Idaho
-
. Position description The Environmental Markets Lab (emLab – https://emlab.ucsb.edu ) and Clean Energy Transformation Lab (CETlab – https://cetlab.es.ucsb.edu/ ) at the University of California Santa Barbara
-
) for validating the NOSHAKE concept for forecasting induced seismicity as a result of fluid injection/extraction related to geothermal energy, geologic carbon storage and hydrogen storage. The position is related