Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Germany
- Sweden
- Netherlands
- Denmark
- France
- Portugal
- Spain
- Belgium
- Poland
- United Arab Emirates
- Norway
- Singapore
- Austria
- Australia
- Romania
- Finland
- Switzerland
- China
- Luxembourg
- Morocco
- Italy
- Estonia
- Greece
- Canada
- Cyprus
- Brazil
- Bulgaria
- Croatia
- Czech
- Hong Kong
- Israel
- Lithuania
- Malta
- Andorra
- Armenia
- India
- Ireland
- Japan
- New Zealand
- Slovakia
- 32 more »
- « less
-
Program
-
Field
- Computer Science
- Engineering
- Mathematics
- Biology
- Medical Sciences
- Science
- Economics
- Electrical Engineering
- Chemistry
- Materials Science
- Earth Sciences
- Linguistics
- Business
- Humanities
- Physics
- Environment
- Law
- Psychology
- Arts and Literature
- Philosophy
- Social Sciences
- Sports and Recreation
- 12 more »
- « less
-
models and algorithms in Python, with documented experience in PyTorch. The applicant should be knowledgeable with neural networks and furthermore have a strong drive towards performing fundamental
-
Contract: https://ucnet.universityofcalifornia.edu/labor/bargaining-units/ra/contract.html Qualifications Basic qualifications (required at time of application) PhD or equivalent international degree
-
(E13 TV-L, 100%, starting 1 April 2026 or as agreed) 22.12.2025, Wissenschaftliches Personal The Professorship “Algorithmic Governance and Public Policy” (Prof. Daria Gritsenko), invites
-
of the advertised position. Specific Requirements Enrollment in a doctoral school or holding a PhD degree in the field of Physics and/or Engineering. A minimum of 1 year of experience in research and development
-
tools for the prediction of composite manufacturing processes. You will work on development of algorithms, custom written codes, application of commercial finite element software and development of user
-
on doctoral degrees at Forschungszentrum Jülich (including its various branch offices) is available at https://www.fz-juelich.de/en/careers/phd We welcome applications from people with diverse backgrounds, e.g
-
signature. Both black-box and white-box damage identification algorithms will be assessed. The resulting digital twin will serve as the foundation for a permanent SHM system for the galleries in the HADES URL
-
guidelines ). Only complete applications received within the response period via the link below will be considered. Where to apply Website https://www.academictransfer.com/en/jobs/357878/phd-position-in
-
laboratory, home-like and real-world environments Implement novel advanced machine learning methods (e.g., federated learning techniques) Apply existing algorithms, develop and implement new signal processing
-
method, NSGA-II algorithm, heuristics, and rolling horizon approach. Minimum education and/or experience required: PhD with specialization in industrial engineering, modeling, or similar disciplines