Sort by
Refine Your Search
-
a so-called multi-fidelity optimization framework where results from simulations of different degree of detailing are combined. With the ever-increasing available computational power, scale-resolving
-
kinematics from real-word incidents and simulate crash reconstruction. Qualifications Mandatory Educational qualifications: • PhD in Mechanical/Biomedical engineering, with experience in computational models
-
. We have the technology to prevent these crashes with intelligent applications. However, for this technology to deliver the expected benefits we need to understand the behaviour of intoxicated riders
-
for all patients is crucial. Additionally, seamless integration with existing therapy practices requires careful consideration to optimize patient outcomes. Robotic rehabilitation and physiotherapy hold
-
meritorious for future roles within academia and industry. Qualifications Mandatory: - Ph.D. degree in Electrical Engineering, Computer Science, Applied Mathematics, or similar, awarded no more than three years
-
University of Technology. Our group primarily focuses on quantum materials, exploring aspects such as the symmetry and topology of ordered phases of matter, non-equilibrium dynamics, and stochastic processes
-
for teaching. Qualifications To qualify for the position of postdoc, you must hold a doctoral degree in electrical engineering or computer science, with specialization in statistical signal processing, wireless
-
25 May 2024 Job Information Organisation/Company Chalmers University of Technology Research Field Engineering » Electrical engineering Computer science » Programming Mathematics » Probability theory
-
and Control Division , and will be in close cooperation with the Mathematical Sciences, and Computer Science and Engineering departments. In the Vehicle Safety Division we perform research on both human
-
field of quantum computation and technology, which will facilitate building career. At the Quantum Technology Laboratory (QTL) within the Department of Microtechnology and Nanoscience (MC2) at Chalmers