Sort by
Refine Your Search
-
Listed
-
Country
- United States
- Sweden
- Denmark
- France
- Netherlands
- United Kingdom
- Morocco
- Portugal
- Germany
- Spain
- Norway
- Belgium
- Luxembourg
- Switzerland
- Australia
- Poland
- Brazil
- Finland
- Hong Kong
- United Arab Emirates
- Austria
- China
- Italy
- Worldwide
- Andorra
- Canada
- Cyprus
- Japan
- Mexico
- New Zealand
- Romania
- Saudi Arabia
- Vietnam
- 23 more »
- « less
-
Field
-
Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 12 days ago
. Studying literature Scanning rose flowers at different growth stages Implementing and testing neural shape models Writing research reports Where to apply Website https://jobs.inria.fr/public/classic/en
-
10 Apr 2026 Job Information Organisation/Company MOHAMMED VI POLYTECHNIC UNIVERSITY Research Field Computer science Economics Researcher Profile Recognised Researcher (R2) Established Researcher (R3
-
prediction … At the core of their ability is the capacity to generalize unseen data and to be applied as pretrained models to different domains. However, these properties remain only partially understood
-
. The appointees will participate in a multidisciplinary collaborative research project related to development of deep learning model for diagnosis and prognosis of different sarcomas. He/she will develop and train
-
the EPSRC and is fixed-term for 1.5 years with the possibility of extension. The role is to lead the development of rotor CFD tools for tidal stream turbines. You will work on the EPSRC-funded programme
-
-trained tool on other image sensors and at different mountain sites presents difficulties. Specifically, generalizing a model trained on a specific site to other sites with different environmental
-
Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Plant species distribution models (SDMs
-
arboviruses (e.g. dengue, zika), where we investigate how host-virus dynamics affect outcomes in different tissues. By combining computational systems biology with rigorous experimental virology, we transform
-
our OU community can reach their potential. We recognise that different people bring different perspectives, ideas, knowledge, and culture, and that this difference brings great strength. We strive
-
of mobility models from the different approaches on two study sites • Comprehending of the Louisette Garcin’s mobility model • Definition of key indicators for comparison • Sensitivity analysis of methods and