18 assistant-professor-computer-science positions at Chalmers University of Technology in Sweden
Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
livable cities. The project will be based in the AI Laboratory for Molecular Engineering (AIME) , led by Assistant Professor Rocío Mercado Oropeza, where researchers develop new machine learning (ML
-
This is a call for a PhD position in the Data Science and AI division at the Department of Computer Science and Engineering (CSE) , Chalmers University of Technology. The department
-
(masterexamen) of 120 credits or a Master’s degree (magisterexamen) of 60 credits in Electrical Engineering, Communication Engineering, Engineering Physics, Computer Engineering or similar, with a strong
-
machine learning, computer vision, and materials science. The focus of this position is on development of neuro-symbolic models for the effective behaviour of the complex microstructure of recycled
-
cross-layer defenses that ensure secure and efficient AI model development at scale. Information about the division The department of Computer Science and Engineering is strongly international, with
-
changing environment will affect the stability of quick clays, and the probability of triggering catastrophic failures. We offer access to unique experimental facilities and computational tools developed by
-
) . Other divisions of IMS are: Design & Human Factors; Product Development; Material & Computational Mechanics; Engineering Materials; Materials and Manufacture. Chalmers is a private university with strong
-
vulnerabilities and proposing effective defenses, the project seeks to make the next generation of the Internet more secure, resilient, and trustworthy. About us The Department of Computer Science and Engineering
-
, biotechnology, and materials science. Your main supervisor, Malgorzata Zboinska , is associate professor in Architectural Design, Digital Technology and New Media Art and development leader for the Robotic
-
computational costs by orders of magnitude and enabling breakthroughs in drug design and materials science. The position bridges machine learning and molecular science, with opportunities for collaboration