Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
application! At the Department of Electrical Engineering, Division of Automatic Control, we are now looking for a PhD student, to be admitted to the WASP graduate school. Your work assignments The research area
-
of the numerical methods behind CFD and turbulence models. Experience in analyzing CFD data and interpreting simulation results. Excellent command of written and spoken English. Experience writing scientific reports
-
• Perform genetic studies and bioinformatic analysis to identify genes and mechanisms that control these traits • Develop DNA markers for future application in plant breeding In the research studies, you will
-
tools and procedures for cloud-to-edge compute continuum. -Dynamic Resource and Compute Management for cloud-to-edge compute continuum. -Unified Monitoring Interfaces to provide scalable control and
-
risk analysis. -Testing for security and security countermeasures analysis and implementation -Access and usage control for secure data sharing in industrial eco-systems. -Virtualization at the cloud
-
groups based on demographic, socioeconomic, and medical factors. You will mainly work with advanced epidemiological methods such as self-controlled case series (SCCS) and survival analyses, using Swedish
-
-fabrication processes for superconducting devices Automatic bring-up and calibration of quantum processors Design and simulation of quantum processors Optimal-control techniques for high-fidelity qubit
-
in biomedical research and experience in application of image analysis in biomedicine; Experience of programming in Matlab, software version control with Git, typesetting with LaTeX; Experience with
-
research, and communicate findings effectively. Experience with deep learning models or automatic differentiation. Familiarity with version control systems like GitHub. Our lab values diversity and inclusion
-
of novel computational methods and models, including extending methods already under development in the lab, with a particular focus on ways of exerting more precise control for protein design. In