Sort by
Refine Your Search
-
Listed
-
Employer
- Chalmers University of Technology
- Umeå University
- University of Lund
- Mälardalen University
- Swedish University of Agricultural Sciences
- The Swedish University of Agricultural Sciences
- Karlstad University
- Linköping University (LiU)
- Umeå universitet stipendiemodul
- University of Skövde
- Uppsala University
- 1 more »
- « less
-
Field
-
dynamics simulations and machine learning methods to study the structure and electrochemistry of disordered materials are also encouraged to apply. The project primarily aims to understand the complex
-
focuses on the development of GPU-accelerated, high-fidelity thermal runaway simulation models for lithium-ion battery cells, modules, packs, and complete battery systems. Thermal runaway is a chain
-
of the system is still insufficiently understood. This project investigates the underlying fluid-structure interaction mechanisms and develops advanced numerical methods for high-fidelity simulation
-
numerical simulations to understand molecular mechanisms of epigenetic regulation by the Polycomb and Trithorax group proteins. Project description Chromosomal rearrangements of the human MLL1 gene
-
. Conduct transportation resilience assessment and enhancement studies based on GIS, complex network analysis, and machine learning. Simulate human mobility in response to extreme weather events (e.g
-
briefly describe the connection between your past research and the position (max 2 pages), Curriculum vitae (CV) with publication list, Verified copy of doctoral degree certificate or documentation
-
operational safety levels of track and vehicles. Here, the project will take a hybrid approach in combining physical simulations and data driven analyses (featuring AI/ML as well as ‘traditional’ statistical
-
well as your experience in the areas mentioned above (max. two pages), Curriculum vitae with publication list, Verified copy of doctoral degree certificate or documentation that clarifies when the degree
-
the link between mechanics and biology in the musculoskeletal system, including related pathologies and repair of skeletal tissues. Experimental studies, tissue characterisation and computational simulation
-
work. Experience in mechatronics and system integration, as well as modelling and simulation of robotic, automation, or production systems. Experience in teaching within relevant technical fields