Sort by
Refine Your Search
-
Employer
-
Field
-
Are you interested in developing computational tools to understand the detailed mechanical behaviour of multi-phase materials? Then this PhD position at Chalmers University of Technology might be
-
information about us, please visit: the Department of Biochemistry and Biophysics . About the DDLS PhD student program Data-driven life science (DDLS) uses data, computational methods and artificial
-
universities, Guest lectures and networking opportunities with academia and industry, A strong, cross-disciplinary PhD student network. WASP is Sweden’s largest individual research program ever, a major national
-
%) Complete coursework relevant to the PhD program Your profile Required qualifications MSc degree in Environmental Engineering, Chemical Engineering, Civil Engineering, Biotechnology, or a related field
-
level or performing other duties corresponding to 20 percent of working hours Successful candidates will be enrolled, in addition to the department’s PhD program, to the WASP graduate school. The graduate
-
of Technology (LTU) provides research and education, the Swedish Institute of Space Physics (IRF) focuses on space plasma research and instrument development, and EISCAT Scientific Association carries out radar
-
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
-
student, you must have a master's level degree in a relevant field (e.g., physics, mathematics, or computer science). Equivalent requirements apply to individuals with an education earned outside of Sweden
-
permit to study in Sweden, and the study programme requires physical presence at Mälardalen University, the university reserves the right to withdraw the admission decision if a valid residence permit is
-
We are looking for a PhD candidate fascinated by the response of quick clays that can change from solid to liquid with small environmental perturbations. We want to be able to understand how a