Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Germany
- Norway
- Sweden
- Singapore
- Denmark
- France
- Australia
- Netherlands
- Belgium
- Switzerland
- Canada
- Austria
- Spain
- Hong Kong
- Portugal
- China
- Luxembourg
- United Arab Emirates
- Poland
- Italy
- Morocco
- Ireland
- Czech
- New Zealand
- Finland
- India
- Cyprus
- South Africa
- Latvia
- Worldwide
- Egypt
- Saudi Arabia
- Andorra
- Brazil
- Bulgaria
- Estonia
- Lithuania
- Slovenia
- Israel
- Japan
- Mexico
- Armenia
- Iceland
- Slovakia
- Barbados
- Benin
- Croatia
- Europe
- Kazakhstan
- Kenya
- Romania
- Sao Tome and Principe
- Taiwan
- Vietnam
- 46 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Engineering
- Biology
- Economics
- Science
- Mathematics
- Business
- Materials Science
- Chemistry
- Arts and Literature
- Psychology
- Humanities
- Social Sciences
- Education
- Linguistics
- Electrical Engineering
- Earth Sciences
- Environment
- Law
- Physics
- Philosophy
- Sports and Recreation
- Design
- Statistics
- 15 more »
- « less
-
PhD Stipend in machine learning methods for the analysis of IoT time-series data. At the Technical Faculty of IT and Design, Department of Computer Science, one PhD stipend in machine learning
-
are essential Additional qualifications Experience and courses in one or more subjects are valued: statistical machine learning, optimization, deep learning and signal processing. Rules governing PhD students
-
, aiming at improving the information extraction and the of icy planetary bodies subsurface by radar sounder data processing. The selected candidate will be expected to develop novel machine learning methods
-
their PhD. Project description The aim of this project is to deepen the fundamental understanding of machine learning through the lens of optimal transport theory, systems theory, and statistical physics
-
to the lack of accurate models, machine learning-based problem solving is now revolutionizing almost every field of science and technology. FuturoChrom aims at developing model-free, purely reinforcement
-
applied mathematical modelling machine learning multi-fidelity modelling numerical methods. Demonstrated programming ability (MATLAB/Python/C++) and enthusiasm to learn PyTorch. Previous experience in one
-
that learn nonlinear cross-fidelity correlations. More broadly, scientific machine learning methods such as physics-informed neural networks (PINNs) and operator learning (DeepONet, Fourier Neural Operator
-
performance, yet their atomic-scale origin and role in reactivity remain poorly understood. The project addresses this open problem by integrating high-throughput Density Functional Theory, machine-learning
-
application! We are now looking for a PhD student in Computer Vision and Learning Systems at the Department of Electrical Engineering (ISY). Your work assignments Your task will be to analyse and adapt vision
-
awareness These funded PhD scholarships are suitable for students with a background in Computer Science, Mathematics, Engineering and Cognitive Science. Students with interests in machine learning, deep