Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Sweden
- Germany
- Netherlands
- Portugal
- Spain
- France
- Singapore
- Norway
- Denmark
- United Arab Emirates
- Belgium
- Switzerland
- China
- Australia
- Poland
- Finland
- Italy
- Luxembourg
- Austria
- Canada
- Hong Kong
- Morocco
- Vietnam
- Ireland
- Romania
- Czech
- Japan
- Estonia
- Greece
- Brazil
- Cyprus
- Saudi Arabia
- Croatia
- Lithuania
- Andorra
- India
- South Africa
- Taiwan
- Malta
- New Zealand
- Slovenia
- Worldwide
- Hungary
- Israel
- Kenya
- Latvia
- 38 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Economics
- Engineering
- Biology
- Science
- Business
- Mathematics
- Education
- Psychology
- Materials Science
- Earth Sciences
- Chemistry
- Arts and Literature
- Social Sciences
- Environment
- Humanities
- Linguistics
- Electrical Engineering
- Sports and Recreation
- Law
- Physics
- Philosophy
- Design
- Statistics
- 15 more »
- « less
-
, the fusion community has started to develop fast surrogate models based on Machine Learning / AI models to speed up significantly the employed tools. Such tools have demonstrated to be generally applicable and
-
Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | about 4 hours ago
pipeline, building on existing deep learning models in meteorology and climate science Your Profile PhD in computational science, mathematics, physics, or a related subject Experience with machine-learning
-
modeling and model–data fusion techniques, and developing faster, machine-learning–based tools that can stand in for slow model simulations. These tools will be used to test how model parameters influence
-
of the ERC Consolidator project AUTOMATIX (see details below), we are seeking a PhD candidate to develop machine learning approaches for constitutive modeling. Context With the advent of machine-learning (ML
-
at: https://www.umu.se/en/department-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data driven models
-
mechanics, finite element modeling, and scientific machine learning. The RSE will contribute to the design, implementation, and maintenance of open-source software libraries that integrate phenomenological
-
researcher will work at the interface of root developmental biology, 3D modeling, network and graph theory, and data analysis, in close interaction with biologists, modelers, and computer scientists (INRAE
-
for part-time employment. Starting date: 14.01.2026 Job description:PhD position on physics-based machine learning modeling for materials and process design Reference code: 2026/WD 1 Commencement date
-
interest in the total affairs of the college. Under general supervision, this individual will prepare and teach computer integrated machining courses designed for career technical programs. The faculty
-
) training personalized computational models in new contexts, and (iii) studying in-silico clinical intervention strategies. The postdoctoral fellow will have the opportunity to: Learn about computational