39 phd-in-computer-vision-and-machine-learning Postdoctoral positions at Chalmers University of Technology
Sort by
Refine Your Search
-
Application Deadline 4 Oct 2025 - 22:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 304--1
-
research. The methods of our investigations are also diverse and complementary, and range from theory and computer simulations to experiments in subatomic physics. The Plasma Theory group within the Division
-
simulations to experiments in subatomic physics. The Plasma Theory group within the Division conducts research on acceleration and radiation generation in magnetic fusion, laser-produced and astrophysical
-
conferences Your profile A PhD degree in Electrical Engineering, Computer Science, Telecommunications, or a closely related field, awarded no more than three years prior to the application deadline* Proven
-
Application Deadline 9 Oct 2025 - 22:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 304--1
-
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
-
for documented circumstances such as parental leave, sick leave, or military service. The following experience will be highly meritorious: Research experience from work with: microalgae/single cells omega-3 fatty
-
with PhD students. Our research infrastructure is provided mainly by NAISS (National Academic Infrastructure for Supercomputing in Sweden) and C3SE (Chalmers Centre for Computational Science and
-
varied, ranging from theory and computer simulations to experimental investigations. The theoretical subatomic physics group performs research on nuclear, elementary particle, and astroparticle physics by
-
fluids, flow-induced pattern formation in both simple and complex flows (e.g. flow instabilities, product defects), multiscale analysis, and the application of machine learning techniques. About the