39 machine-learning-and-image-processing Postdoctoral positions at Chalmers University of Technology
Sort by
Refine Your Search
-
, machine learning, etc. Building a quantum computer requires a multi-disciplinary effort involving experimental and theoretical physicists, electrical and microwave engineers, computer scientists, software
-
for documented circumstances such as parental leave, sick leave, or military service. The following experience will strengthen your application: Knowledge in tolerancing, geometry assurance, dimensional accuracy
-
, or military service. What you will do Design and conduct NAP-XPS experiments on battery-relevant materials under electrochemical bias Develop and validate operando cell configurations for NAP-XPS
-
to the three-year eligibility limit may be made for documented circumstances such as parental leave, sick leave, or military service. The following experience will strengthen your application: Knowledge in
-
of completion. Exceptions to the three-year eligibility limit may be made for documented circumstances such as parental leave, sick leave, or military service. The following experience will strengthen your
-
eligibility limit may be made for documented circumstances such as parental leave, sick leave, or military service. The following experience will strengthen your application: Experience with fluidics
-
with external partners. Research activities at the division are organized into four main areas: Electric power systems Power electronics Electric machines High-voltage engineering The strength of our
-
questions about the particles and forces governing our Universe to energy-related research. The methods of our investigations are also diverse and complementary, and range from theory and computer simulations
-
which marine microalgae-based technologies are used to upcycle nutrients from saline seafood process waters, while simultaneously producing valuable biomass. A core of the project is to tailor mild
-
digital twin environments and validation frameworks to ensure reliable, secure, and reproducible deployment processes. The project is carried out in close collaboration with Ericsson and Arctos Labs