Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Sweden
- United Kingdom
- Norway
- Germany
- France
- Belgium
- Denmark
- Netherlands
- Portugal
- Singapore
- Australia
- Spain
- Hong Kong
- China
- Luxembourg
- Italy
- Poland
- United Arab Emirates
- Switzerland
- Canada
- Austria
- Czech
- Cyprus
- Ireland
- Finland
- India
- Bulgaria
- Estonia
- Latvia
- Lithuania
- Morocco
- New Zealand
- South Africa
- Saudi Arabia
- Andorra
- Armenia
- Brazil
- Iceland
- Israel
- Japan
- Worldwide
- Europe
- Slovakia
- Slovenia
- Vietnam
- 36 more »
- « less
-
Program
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Biology
- Economics
- Science
- Mathematics
- Materials Science
- Arts and Literature
- Business
- Electrical Engineering
- Humanities
- Chemistry
- Linguistics
- Education
- Social Sciences
- Environment
- Physics
- Earth Sciences
- Design
- Sports and Recreation
- Law
- Philosophy
- Psychology
- 14 more »
- « less
-
position The PhD student will: Develop machine learning models for digital phenotyping and genomics Work with multimodal datasets (images, 3D data, motion, genomics) Implement models in Python (e.g. PyTorch
-
ELLIIT collaboration, in which BTH leads computational and applied AI development. Research focus The PhD project will focus on the development of scalable and efficient machine learning approaches
-
15 Apr 2026 Job Information Organisation/Company Graz University of Technology Department Institute of Machine Learning and Neural Computation Research Field Computer science Researcher Profile
-
15 Apr 2026 Job Information Organisation/Company Graz University of Technology Department Institute of Machine Learning and Neural Computation Research Field Computer science Researcher Profile
-
duties as assigned. Basic Qualifications PhD in chemistry, chemical engineering, materials science, computer science, or a closely related field. Demonstrated expertise in machine learning and data science
-
Fellow to develop and evaluate artificial intelligence methods for physical medical procedures. The fellow will design and implement machine learning models to analyze procedural data, support clinical
-
prediction to process optimization. The focus of this PhD project is to develop and apply machine learning methods across three interconnected tasks: 3D microstructure characterisation. The student will
-
to work at Uppsala University. Duties The PhD student will carry out research in signal processing and machine learning with a strong emphasis on theoretical foundations. The PhD student will actively
-
, multi-agent systems and data-driven optimization. Basic skills and knowledge of machine learning principles. A good understanding of practical engineering challenges with a view towards impact. Personal
-
Engineering » Computer engineering Engineering » Control engineering Engineering » Industrial engineering Engineering » Systems engineering Chemistry » Analytical chemistry Agricultural sciences » Agronomics