Sort by
Refine Your Search
-
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
- Geological Survey of Denmark and Greenland (GEUS)
- George Mason University
- KTH Royal Institute of Technology
- KU LEUVEN
- Leuphana University Lueneburg
- Luxembourg Institute of Science and Technology
- National University of Singapore
- Purdue University
- UNIVERSITY OF HELSINKI
- Universitatea din Bucuresti
- University of Bath;
- University of Cambridge;
- University of Oxford
- University of South Carolina
- University of South-Eastern Norway
- University of Utah
- Vrije Universiteit Amsterdam (VU)
- Wageningen University & Research
- 16 more »
- « less
-
Field
-
). This exciting translational role sits at the intersection of innovative stem cell engineering and disease modelling, targeting genetic, metabolic, and immune-driven pathologies. You will utilise proven kidney
-
diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
-
candidate to join an interdisciplinary Future Health Technologies (FHT) research programme at the forefront of agentic AI in healthcare. The project aims to design, develop, and evaluate AI-driven coaching
-
role in enabling this transition, while also introducing new challenges related to system dynamics, stability, and control. This project focuses on the development of modeling, stability analysis
-
maintenance of DTS systems for continuous monitoring in soil and stream Methodological developments for the use of heat as a tracer for preferential flow Development of signal processing routines for high
-
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
-
education and science. Methodological diversity, interdisciplinary cooperation, transdisciplinary cooperation with practice and an overall dynamic development characterise its research profile in the core
-
analytics; Experience in integrating multi-source remote sensing data with process-based or data-driven models to characterize agricultural and ecological systems; Experience in applying advanced Artificial
-
research program focused on advanced neuroimaging and computational modeling in collaboration with Pediatric Neurosurgery and the Adult Cerebrovascular Division. This faculty member will develop a
-
scalable workflows that integrate physics‑based modeling with data‑driven approaches, while efficiently utilizing national and local high‑performance computing (HPC) resources. Essential Function Yes