59 postdoctoral-position-in-material-science PhD positions at Chalmers University of Technology in Sweden
Sort by
Refine Your Search
-
. One of our focus areas is to design materials capable of withstanding aggressive high temperature process environments. About the position Materials performance stands as a crucial barrier inhibiting
-
creations in modern materials science. This position will involve you in this cutting-edge research field, and give you the opportunity to push the boundary of knowledge. The systematic PhD training will
-
This is a broad call for five fully-funded PhD positions in computer science and engineering to work on machine learning, autonomous systems, software engineering, formal methods, and network
-
Chalmers University of Technology, Department of Chemistry and Chemical Engineering / Rahm research group Position ID: Chalmers University of Technology -Department of Chemistry and Chemical
-
, Chemical Engineering or Materials Science. The position requires strong sound, verbal and written communication skills in English. If Swedish is not your native language, Chalmers offers Swedish courses
-
We are offering a PhD position in the field of algorithmic graph theory. The position is a full-time employment with a competitive monthly salary and full social benefits for up to five years. You
-
encompasses a comprehensive life cycle assessment for evaluate the environmental impact of the hybrid materials and process for the biomass valorization. This PhD position is part of the Wallenberg Wood Science
-
on advancing Net Zero industries through new knowledge and solutions in maintenance engineering, such as in the emerging and rapidly scaling battery industry. The position is uniquely open for top talent eager
-
of Radio and space science the position generally also includes teaching on Chalmers' undergraduate level or performing other duties corresponding to 20 per cent of working hours Contract terms and what we
-
Gerken (Department of Mathematical Sciences) Project description In many deep learning applications ranging from medical image analysis to quantum chemistry, the symmetries of the underlying problem pose