Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Netherlands
- Sweden
- Germany
- Norway
- Denmark
- France
- Spain
- Belgium
- Australia
- Austria
- China
- Portugal
- United Arab Emirates
- Luxembourg
- Switzerland
- Canada
- Hong Kong
- Poland
- Singapore
- Finland
- Estonia
- Italy
- Morocco
- Czech
- Vietnam
- Greece
- Brazil
- Cyprus
- Saudi Arabia
- Latvia
- Malaysia
- New Zealand
- Taiwan
- Worldwide
- 26 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Engineering
- Biology
- Science
- Economics
- Mathematics
- Psychology
- Earth Sciences
- Environment
- Materials Science
- Education
- Humanities
- Business
- Electrical Engineering
- Social Sciences
- Chemistry
- Linguistics
- Arts and Literature
- Physics
- Law
- Sports and Recreation
- 12 more »
- « less
-
systems at various scales, for example using ab initio electronic structure methods like density-functional theory, developing interatomic potentials with various methodologies including machine learning
-
Intelligence (AI) and machine learning. We seek a scholar with interests and expertise in advancing the science and applications of Remote Sensing, who is also enthusiastic about incorporating AI-based and data
-
citation record must be focused on AI; or alternatively (B), machine learning engineers with an AI-focused PhD and demonstrated 2-year industry experience in AI development Applicants must have in-depth
-
are comfortable working with Git and API tooling, such as Postman. You have experience in machine learning, NLP/LLMs, multimodal systems, computer vision, or scraping. Having experience in data science
-
of educational data science, AI in education, and the learning sciences, with additional advisory support from faculty and researchers across learning sciences, computer science, machine learning, and education
-
methods and the potential to develop pioneering reconstruction and calibration techniques involving machine learning. The PhD will prepare equally well for a career in industry and academia. The candidate
-
. The Department of Chemistry and Materials Science is looking for: A Doctoral Researcher (PhD student) in Machine Learning for Surface Structures The Data-driven Atomistic Simulation (DAS) group, led by
-
intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics. Our research is rooted in basic research and
-
developments in sensor design, dataset transmission, data analysis, and numerical modeling to distinguish between normal and abnormal features. Here, the goal is to develop machine learning algorithms
-
, bioinformatics, data science, machine learning, optimisation, numerical methods. Please read more about the position and our department on our dedicated webpage . About the research project City digital twins