Sort by
Refine Your Search
-
Country
-
Employer
-
Field
-
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
-
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
-
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
-
/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
-
) 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
-
@dtu.dk You can read more about DTU Space and the division of Astrophysics and Atmospheric Physics at https://www.space.dtu.dk/english/ If you are applying from abroad, you may find useful information
-
with experts in climate modeling, geosciences and in renewable energy development have been set-up to respond to these societal issues. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre
-
simulations, and scenario forecasting—to evaluate dynamic energy-water futures and resilience strategies for diverse Idaho communities. Department Overview: Boise State University invites applications for a
-
-Doctoral Research Associates and PhD students. To find out more go to: Centre for Integrated Renewable Energy Generation and Supply - Research - Cardiff University https://www.linkedin.com/showcase/centre
-
air laboratory to uncover how sub kilometer air–lake coupling influences convection, rainfall and heat budgets. The insights will advance coupled models and improve forecasts in vulnerable regions. As a