Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Chalmers University of Technology
- KTH Royal Institute of Technology
- Lunds universitet
- University of Lund
- SciLifeLab
- Lulea University of Technology
- Linköping University
- Umeå University
- Uppsala universitet
- Chalmers tekniska högskola
- Nature Careers
- Luleå University of Technology
- Lund University
- Stockholms universitet
- University of Gothenburg
- Blekinge Institute of Technology
- Chalmers
- Chalmers University of Techonology
- Fureho AB
- KTH
- Karlstad University
- Karolinska Institutet (KI)
- Mid Sweden University
- Mälardalen University
- Swedish University of Agricultural Sciences
- Umeå universitet
- Umeå universitet stipendiemodul
- 17 more »
- « less
-
Field
-
validate decision-support tools for energy-aware planning, predictive maintenance, and resource optimization. -Develop and test multi-agent and distributed control systems using technologies such as IEC
-
optimization. -Develop and test multi-agent and distributed control systems using technologies such as IEC 61499 and real-time simulation. -Use robotics, autonomous systems, and digital twins to automate and
-
how alterations in stem and progenitor cells during homeostasis lead to disease. The advertised position is dedicated to characterizing and optimizing human esophageal organoid cultures from patient
-
). As a Research Engineer, you will: Implement, optimize, and run simulation code in Matlab and Python. Develop lab assignments for upcoming courses in Safe AI and Knowledge Representation and Reasoning
-
optimized to specific battery chemistries and flow phenomena from the microscale up. The developed technologies will be validated in half-cells and full working batteries at industrial partners at TRL 6. Our
-
. Contribute to the design and optimize the metal combustors. Develop and implement image analysis techniques for particle evaporation, fragmentation and alumina condensation. Support project and thesis students
-
ocean environments, ensure safe and sustainable operations. Our activities are centered on numerical modelling (e.g. CFD, FEA, FSI, optimization, machine learning), but also include experiments and real
-
on III-nitride devices and circuits for both high frequency and power applications. We will explore new concepts in III-nitride semiconductor material and device processing to optimize different important
-
material layers that can be optimized to specific battery chemistries and flow phenomena from the microscale up. The developed technologies will be validated in half-cells and full working batteries
-
affordable and durable long-duration energy storage. The approach is to use hierarchical structures, i.e. complex material layers that can be optimized to specific battery chemistries and flow phenomena from