-
of surface sites makes theoretical understanding difficult. This project will develop and benchmark machine learning models to predict local electronic density of states (DOS) at alloy catalytic sites
-
). Meritorious: It is also an advantage if you have experience with: Machine learning. Coupling algorithms of fluid-structure interaction solvers. Computational aeroacoustics. Swedish is not required
-
of computational fluid dynamics (CFD). Knowledge of finite element method (FEM). Meritorious: It is also an advantage if you have experience with: Machine learning. Coupling algorithms of fluid-structure interaction
-
disciplines learn together. Our team is diverse and comprises researchers and teachers with architectural, planning, urbanism, and human geography backgrounds, Doctoral students, and other early-career
-
about working at Chalmers and our benefits for employees. The position is limited to four years, with the possibility to teach up to 20%, which extends the position to five years. Doctoral studies
-
working at Chalmers and our benefits for employees. The position is limited to four years, with the possibility to teach up to 20%, which extends the position to five years. A dynamic and inspiring
-
, and flexible hours. Wellness subsidy and one wellness hour per week during paid working hours. Learn more about our benefits and what it’s like to work at Chalmers . Application Procedure Applications
-
, and flexible hours. Wellness subsidy and one wellness hour per week during paid working hours. Learn more about our benefits and what it’s like to work at Chalmers . Application Procedure Applications