Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Germany
- France
- United Kingdom
- Sweden
- Norway
- Netherlands
- Belgium
- Portugal
- Denmark
- Spain
- United Arab Emirates
- Poland
- Singapore
- Italy
- Australia
- Luxembourg
- Romania
- Estonia
- Ireland
- China
- Worldwide
- Canada
- Austria
- Finland
- Hong Kong
- Switzerland
- Andorra
- Bulgaria
- Cyprus
- Czech
- Greece
- Morocco
- Slovakia
- Armenia
- Europe
- India
- Israel
- Japan
- Malta
- Mexico
- New Zealand
- 32 more »
- « less
-
Program
-
Field
-
-quality and high-impact research and for creating research networks supporting their careers. We welcome applications across all areas in Computer Science, including Algorithms and theory Bioinformatics and
-
Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD will take place at CREST, within ENSAE, a
-
tools for the prediction of composite manufacturing processes. You will work on development of algorithms, custom written codes, application of commercial finite element software and development of user
-
from talented and highly motivated candidates to pursue a PhD in machine learning at KTH, Sweden, and NTU, Singapore. This is a fully funded, joint doctoral position that will lead to a joint PhD degree
-
The information for the PhD admission is available at TalTech´s web-page: https://taltech.ee/en/phd-admission . Please submit your application, with all your application documents to Professor Luca Mora (Luca.Mora
-
Institute of Low Temperature and Structure Research Polish Academy of Sciences | Poland | 25 days ago
to the Doctoral School of ILT&SR PAS https://phd.intibs.pl/files/dokumenty_EN/25-04-29-Zasady_rekrutacji_SD_INTiBS_PAN_en.pdf Description of the research project and the PhD thesis The exceptional sensitivity
-
already been awarded a PhD degree. Selection process You should submit your CV through a dedicated site: https://cv.newton-6g.eu/ Additional comments Position: Data-driven models for CF networks
-
Ordnance Survey to start in October 2026. Artificial Intelligence (AI) is transforming workplace processes, raising critical questions about how humans and AI collaborate. This PhD project explores
-
Ph.D. in any aspects of climate and/or sustainability, with either by a PhD degree in any aspect of climate and/or sustainability sciences and engineering (e.g., to coincide with one of the five themes
-
to bandwidth and coverage constraints. These challenges are further exacerbated due to the limited energy budget and computational resources of the meteorological aerial sensor. In the first phase, this PhD