Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Sweden
- Germany
- Norway
- Netherlands
- Denmark
- Belgium
- France
- Spain
- Portugal
- United Arab Emirates
- Singapore
- Switzerland
- Australia
- China
- Luxembourg
- Poland
- Hong Kong
- Austria
- Italy
- Canada
- Estonia
- Morocco
- Czech
- Romania
- Finland
- Ireland
- Lithuania
- Cyprus
- Latvia
- South Africa
- Worldwide
- New Zealand
- Andorra
- Armenia
- Brazil
- Croatia
- Greece
- India
- Saudi Arabia
- Bulgaria
- Israel
- Japan
- Kenya
- Malta
- Vietnam
- 37 more »
- « less
-
Program
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Science
- Economics
- Biology
- Mathematics
- Chemistry
- Materials Science
- Electrical Engineering
- Arts and Literature
- Education
- Humanities
- Environment
- Business
- Earth Sciences
- Linguistics
- Social Sciences
- Psychology
- Design
- Sports and Recreation
- Philosophy
- Physics
- Law
- 14 more »
- « less
-
education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Computing Science at Umeå University is looking for a doctoral student in machine learning
-
the complex multiscale nonlinear interactions at the origin of such extreme events. In this project, you will develop machine learning-based reduced-order models which can accurately forecast
-
the development and application of probabilistic inference methods and machine learning techniques for quantitative uncertainty modeling and for the integration of heterogeneous climate data
-
BSM processes. This will involve taking a lead role in developing dedicated software frameworks, including the implementation of machine learning techniques. A long-term attachment (6-12 months) and
-
Postdoctoral Research Associate will be responsible for AI-driven materials discovery. The position will collaborate with interdisciplinary teams to develop integrated molecular simulation and machine learning
-
ecosystem applications within AgTech (https://agtechsweden.com/ ), search-and-rescue operations in challenging terrain, and intelligent surveillance for societal security. By combining machine learning with
-
materials systems at the molecular level with machine learning. The PhD Student will undertake a study analysing mass spectral imaging data streams in real time using machine learning workflows. A pathway for
-
of field installations - Contribute to supervision, teaching, and research proposals Qualifications To be eligible for this postdoctoral position, you must hold a PhD in Structural Engineering, Civil
-
other researchers, industry and end-users. • Aptitude in a relevant area (e.g. data analysis, machine learning, rail engineering, asset management, hydrology, hydraulics) as evidenced by previous
-
25th February 2026 Languages English English English The Department of Materials Science and Engineering has a vacancy for a PhD Candidate in machine learning and large language models (LLMs