Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Monash University
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial
- King's College London;
- NOVA.id.FCT- Associação para a Inovação de Desenvolvimento da FCT
- NTNU - Norwegian University of Science and Technology
- Radboud University
- Tallinn University of Technology
- University of Amsterdam (UvA)
- University of Antwerp
- Wageningen University & Research
- Aalborg University
- City St George’s, University of London
- ETH Zürich
- Fondazione Bruno Kessler
- Forschungszentrum Jülich
- Geological Survey of Denmark and Greenland (GEUS)
- KU LEUVEN
- National Research Council Canada
- National University of Singapore
- Norwegian University of Life Sciences (NMBU)
- Queensland University of Technology
- The University of Edinburgh;
- University of Nottingham
- University of Warwick;
- Université Gustave Eiffel
- 16 more »
- « less
-
Field
-
workflows. Significant experience in developing or applying AI-based scheduling, forecasting, and QA/QC systems using computer vision and scanning technologies. Experience in comparing and evaluating
-
means of an Unfixed Term Employment Contract entered into in accordance with the Portuguese Labour Code approved by the Law no. 7/2009 of February 12th, as amended. The contract should have a forecasted
-
the Earth’s ionosphere. Forecasting these disturbances at short lead times is an open and practically relevant problem: physics-based models are hard to adopt for responding during rapidly evolving geomagnetic
-
for the education in subjects of Meteorology and Air Quality at the BSc and MSc level and the training of PhD candidates. Students are guided in the basics of Weather and Climate, Forecasting, Turbulence and
-
Campus (LLEC). Development of physics-informed and graph-based machine learning methods for energy system monitoring, forecasting, and planning Data analysis considering uncertainties, missing data
-
Affinity and preferably experience with ecosystem modelling, ecological forecasting, phytoplankton ecophysiology and/or trait-based ecology. Please note that we do not expect that candidates master all
-
the flood scenarios to 1) early warning: a rapid operational damage assessment using flood and weather forecasts to support emergency warnings by insurers and 2) Future risk assessments by long‑term
-
on portfolios; Building AI methods to integrate the flood scenarios to 1) early warning: a rapid operational damage assessment using flood and weather forecasts to support emergency warnings by insurers and 2
-
mathematical approaches to analyse and forecast marine extremes, including sea level, sea surface temperature, sea ice, and surface waves, from coastal to offshore regions. Understanding and predicting
-
Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 3 months ago
, model calibration, and parameter identification Implementation of simulation, forecasting models, AI-accelerated computational models, and digital twins Support for validation and technological maturation