Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Germany
- Sweden
- Netherlands
- Norway
- France
- Denmark
- Spain
- Belgium
- Portugal
- Australia
- Switzerland
- United Arab Emirates
- Poland
- Singapore
- Austria
- China
- Canada
- Hong Kong
- Luxembourg
- Finland
- Czech
- Vietnam
- Ireland
- Morocco
- Italy
- Romania
- Estonia
- India
- Cyprus
- Latvia
- Andorra
- Croatia
- Lithuania
- New Zealand
- South Africa
- Brazil
- Greece
- Slovenia
- Ukraine
- Chile
- Japan
- Saudi Arabia
- Armenia
- Bulgaria
- Hungary
- Indonesia
- Israel
- Kenya
- Malta
- Qatar
- Taiwan
- Worldwide
- 44 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Engineering
- Biology
- Economics
- Science
- Mathematics
- Chemistry
- Social Sciences
- Arts and Literature
- Business
- Education
- Psychology
- Humanities
- Materials Science
- Earth Sciences
- Electrical Engineering
- Environment
- Linguistics
- Law
- Design
- Physics
- Philosophy
- Sports and Recreation
- Statistics
- 15 more »
- « less
-
Science, or Information Science. The position requires experience with at least one of the following: Data Science, Machine Learning, Computational Social Science, Big Data. Relevant skills could include statistical analysis, data
-
for the PhD admission is available at TalTech´s web-page: https://taltech.ee/en/phd-admission The following application documents should be sent to tarmo.soomere@taltech.ee CV Motivation letter Degree
-
, traditional planning often fails to capture workload variability, uncertainty, and the complex interaction between product features, labor availability, and machine capacity. Your PhD will address
-
quantification in science, engineering, and machine learning. Your workplace You will be employed at the Division of Applied Mathematics in a welcoming and international work environment. The research group in
-
and/or the CAD/CAM process is a plus. I am proficient in Python and am familiar with data science and machine/deep learning toolkits. As a PhD researcher at KU Leuven, I perform research in a structured
-
(Hourly Rate). To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html Department
-
device health status through condition monitoring. AI techniques such as machine learning will be used to optimise gate driver performance and to map gate drive signal attributes to power device health
-
mathematics, computational biology or a related quantitative field Strong background in deep learning for image analysis / computer vision, ideally on microscopy time-lapse data Proven programming expertise in
-
composites for enhanced durability, performing microstructural analysis and mechanical testing. Topology Optimization & AI Integration: Use AI and machine learning to guide structural and topology optimization
-
physical models. As the PhD researcher on this project, you will work at the intersection of machine learning, geometry processing and industrial simulation. You will have the opportunity to explore