Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Norway
- Sweden
- United Kingdom
- Germany
- United Arab Emirates
- France
- Denmark
- Spain
- Netherlands
- China
- Hong Kong
- Portugal
- Australia
- Poland
- Romania
- Austria
- Canada
- Belgium
- Singapore
- Italy
- Lithuania
- Switzerland
- India
- Brazil
- Croatia
- Cyprus
- Czech
- Estonia
- Finland
- Ireland
- Japan
- Latvia
- Luxembourg
- New Zealand
- Slovenia
- 26 more »
- « less
-
Program
-
Field
-
23 Feb 2026 Job Information Organisation/Company Universitat de Girona Department Servei de Recursos Humans Research Field Computer science Engineering Technology Researcher Profile Recognised
-
about the lab at: https://mbzuai.ac.ae/study/faculty/natasa-przulj/ and https://przulj-lab.github.io/ Qualifications PhD in Computer Science, Mathematics, Physics, Bioinformatics, or a related
-
manual gestures). The SyncoGest project (2025–2030) is an interdisciplinary project conducted jointly by computer scientists (Loria – University of Lorraine / Inria / CNRS), linguists (Praxiling – Paul
-
this with expertise in high-performance computing and artificial intelligence using unique scientific infrastructures. The Bioinformatics Division of the Institute of Biological and Geosciences (IBG-4
-
AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 days ago
the Professional Services Group. The School of Computing has a strong foundation in computing and information sciences at the University. We are a transformative centre for research in artificial intelligence and
-
on the problem of making distributed machine learning robust to network outages and computational bottlenecks. The work is part of the Norwegian national AI centre SURE-AI, and the PhD student will
-
) Translation and Artificial Intelligence (including translation and interpreting technologies, machine learning, and AI applications in translation) Translation and Cultural Studies (including digital humanities
-
: The development of computational models to represent structural performance using commercial and research software tools The development and validation of machine learning and artificial intelligence models focused
-
interdisciplinary methods (such as artificial intelligence, digital twins, AR/VR, operations research, human factors, structural health monitoring, robotics) in the research focus of Industrialized Construction
-
, artificial intelligence—and particularly machine learning methods—has become indispensable. Depending on the specialty, processed data may include numerical values, point clouds, text or images, often