Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial
- Jane Street Capital
- Tilburg University
- University of Luxembourg
- Chalmers University of Technology
- ETH Zürich
- Fundació Hospital Universitari Vall d'Hebron- Institut de recerca
- GFZ Helmholtz-Zentrum für Geoforschung
- KTH Royal Institute of Technology
- Leuphana University Lueneburg
- Luxembourg Institute of Science and Technology
- Luxembourg Institute of Science and Technology (LIST)
- National University of Singapore
- Oak Ridge National Laboratory
- Technical University of Denmark;
- University of Cambridge;
- University of Oxford
- University of South Carolina
- University of South-Eastern Norway
- Wageningen University & Research
- 10 more »
- « less
-
Field
-
developing the first observation-driven, AI-ready global river data infrastructure. Reporting to Professor Louise Slater, you will lead research combining large-scale Earth observation data, global hydrography
-
software developers to integrate data‑driven models with mechanistic or physics‑based models and domain expertise; showing thought leadership on applying data & AI-solutions in the food & biobased domain
-
engineering, and model building for financial datasets. At Jane Street, our researchers, engineers, and traders sit a few feet away from each other and work together to train models, architect systems, and run
-
Postdoctoral Researcher to lead technical service delivery for the Luxembourg Digital Innovation Hub (L-DIH 2.0). Operating at the intersection of process systems engineering, data-driven modeling, and applied
-
Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 3 months ago
Energy, Transport and Aerospace, funded by the Foundation for Science and Technology (FCT). It focuses on Scientific Artificial Intelligence, optimization, and computational modeling in engineering, aiming
-
research in data-driven nutrition, health, and food science. With large-scale diet and health data, omics data, biomarkers, digital food and health services, we establish predictive models for evaluation
-
image data. The research explores how AI-driven analysis can move beyond manual reverse-engineering workflows by automating feature extraction and structural interpretation while remaining robust to noise
-
. Knowledge of renewable energy systems (hydropower, wind, solar) and their grid integration. Experience in mathematical modeling, optimization algorithms, and data-driven methods. Possess a strong academic
-
Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 2 months ago
methodologies to complex engineering systems; Development and application of advanced Scientific AI methodologies, including surrogate models, generative models, probabilistic models, and data-driven and physics
-
grounded image data. The research explores how AI-driven analysis can move beyond manual reverse-engineering workflows by automating feature extraction and structural interpretation while remaining robust