Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Germany
- Sweden
- Netherlands
- France
- Norway
- Denmark
- Belgium
- Spain
- Portugal
- Switzerland
- United Arab Emirates
- Australia
- Poland
- Austria
- Singapore
- China
- Canada
- Luxembourg
- Hong Kong
- Italy
- Vietnam
- Czech
- Finland
- Ireland
- Morocco
- Estonia
- Romania
- Latvia
- India
- Croatia
- Cyprus
- Lithuania
- South Africa
- Andorra
- Greece
- New Zealand
- Ukraine
- Brazil
- Japan
- Slovenia
- Barbados
- Bulgaria
- Indonesia
- Israel
- Kenya
- Malta
- Qatar
- Saudi Arabia
- Taiwan
- Worldwide
- 42 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Engineering
- Biology
- Economics
- Science
- Mathematics
- Chemistry
- Arts and Literature
- Social Sciences
- Psychology
- Business
- Humanities
- Education
- Materials Science
- Earth Sciences
- Electrical Engineering
- Environment
- Linguistics
- Law
- Physics
- Design
- Philosophy
- Sports and Recreation
- 14 more »
- « less
-
multiple 2D images and multiple channels, (d) optimizing 2D projection viewpoints (dose reduction and time savings), (e) applying artificial intelligence and traditional machine learning models to noise
-
/machine-learning-for-integrative-genomics/ The HUB : https://research.pasteur.fr/en/team/bioinformatics-and-biostatistics-hub/ Degree : PhD in computer science, computational biology, bioinformatics
-
UiO/Anders Lien 1st March 2026 Languages English English English PhD Research Fellow in Machine Learning for Cognitive Neuroscience Apply for this job See advertisement About the position Position
-
computational physics and/or geosciences and a strong interest in machine learning, Earth observation, and numerical modelling for Arctic prediction. The PhD project will develop methods to improve monitoring and
-
, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
-
application! We are looking for a PhD student in biomedical engineering with a focus on deep learning for medical images Your work assignments The position focuses on developing methods for federated learning
-
), the sorption of PFAS and heavy metals onto natural nanoparticles will be investigated in situ using a dedicated field exposure method developed by our team, complemented by laboratory experiments and machine
-
the DFG Priority Programme “Molecular Machine Learning” and embedded in the research project “Multi-fidelity, active learning strategies for exciton transfer in cryptophyte antenna complexes”. The PhD
-
of this PhD is to develop physics-informed neural operator frameworks that embed governing equations and invariants of fluid mechanics directly into learning architectures, enabling real-time, generalizable
-
PhD student will expect to develop some experience in developing power systems models using a range of computer languages and tools (e.g. Python, MATLAB, OPNET, etc), ideally for applications involving