18 associate-professor-computer-science-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL"-"UCL" positions at Linköping University in Sweden
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
of approaching reconstruction and variability analysis. The project combines applied mathematics, computational imaging, and structural biology. You will develop algorithms, implement and test software tools, and
-
cyber-physical systems (CPS). ESLAB’s work spans advanced system design, dependable computing, and emerging applications in autonomous and safety-critical domains. As an associate professor in Cyber
-
researcher and to obtain both the research and teaching qualifications required for employment as associate professor. The position is a five‑year tenure-track appointment, of which approximately 40% is
-
the EU’s ambitious AI Factories initiative. Learn more: https://mimer-ai.eu/about-mimer/ , https://www.naiss.se , https://eurohpc-ju.europa.eu/ai-factories_en The position As AI Training Program Officer, you
-
NAISS, the National Academic Infrastructure for Supercomputing in Sweden, provides academic users with high-performance computing resources, storage capacity, and data services. NAISS is hosted by
-
and written form, is a requirement. Requirements for the position are: Doctoral degree including work in machine learning applied to the life sciences. Experience in large-scale computing and/or
-
solutions across the natural sciences. Your workplace You will be employed at the Department of Mathematics in the Division of Applied Mathematics, https://liu.se/en/organisation/liu/mai/tima . The research
-
media and visual communication. The research ranges from foundational computer graphics and visualization technology to applications in areas such as medicine, astronomy, and biology. An emerging research
-
Social Robots, which involves several Swedish universities and is funded by WASP-HS (https://wasp-hs.org/ ). The Wallenberg AI, Autonomous Systems and Software Program – Humanity and Society (WASP-HS) is a
-
of full-time. Your qualifications You have graduated at Master’s level in biomedical engineering, electrical engineering, machine learning, statistics, computer science, or a related area considered