Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Austria
- Germany
- France
- Australia
- Netherlands
- Norway
- Belgium
- Denmark
- Singapore
- Sweden
- Luxembourg
- China
- Czech
- India
- Portugal
- Spain
- Switzerland
- United Arab Emirates
- Poland
- Canada
- Ireland
- Hong Kong
- Italy
- Lithuania
- Morocco
- New Zealand
- South Africa
- Andorra
- Armenia
- Barbados
- Bulgaria
- Croatia
- Cyprus
- Estonia
- Europe
- Finland
- Kyrgyzstan
- Latvia
- Romania
- Slovenia
- Worldwide
- 33 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Biology
- Science
- Engineering
- Economics
- Mathematics
- Business
- Chemistry
- Environment
- Humanities
- Linguistics
- Education
- Arts and Literature
- Law
- Earth Sciences
- Social Sciences
- Philosophy
- Materials Science
- Psychology
- Electrical Engineering
- Sports and Recreation
- Physics
- Design
- 14 more »
- « less
-
requirements: Experience using deep-learning algorithms. In-depth knowledge of Python and PyTorch. Previous experience collaborating on scientific projects. Publications on deep-learning topics. 4. Work Plan
-
feed into this vision. The intended start date is July–August 2026. Job requirements PhD in machine learning, artificial intelligence, computational chemistry, computational materials science, or a
-
learning and statistics, and who are eager to contribute to impactful methods for generating private and fair synthetic data with good utility. This project involves development of deep learning based
-
, control, and interaction for real-world robotic systems Deep learning, multimodal learning, or large-scale AI systems Demonstrated experience in robot deployment, experimentation, and applied AI development
-
future. Fuelled by curiosity and a deep sense of responsibility, they provide invaluable contributions to research and teaching, thus enriching our society. Are you also inspired and driven by the desire
-
25th February 2026 Languages English English English The Department of Materials Science and Engineering has a vacancy for a PhD Candidate in machine learning and large language models (LLMs
-
fields of computer science, data science, artificial intelligence, machine learning, deep learning, computer vision, natural language processing, biocomputation, nerual networks, generative artificaial
-
properties through tuning of concentrations and types of viscosity modifiers and superplasticizers, deep learning modeling of parameters of cement composites. The project is realized at the Bydgoszcz
-
information sources and to provide the relevant analysis of all the available variables in different scenarios conditions. In order to reach this goal, deep learning-based algorithms will be implemented
-
into actionable insights, novel tools, and impactful research outcomes. Key Responsibilities Develop, implement, and optimise AI/ML models (artificial intelligence/classical machine learning, deep learning