9 machine-learning-"UNIVERSITY-OF-ADELAIDE" Postdoctoral positions at AALTO UNIVERSITY
Sort by
Refine Your Search
-
Listed
-
Country
-
Field
-
Aalto University is inviting applications for a Postdoctoral researcher in molecular machine learning. The successful applicant will join the research group of Professor Juho Rousu. The position
-
position within a Research Infrastructure? No Offer Description Aalto University is inviting applications for a Postdoctoral researcher in molecular machine learning. The successful applicant will join the
-
to work on the discovery of new superconducting materials with high critical temperatures, using novel methods and concepts such as machine learning and quantum geometry. The project is related to large
-
Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
to develop machine learning-enabled approaches for predictive modelling and state estimation for fundamental applications within physical sciences. Your role The main research responsibilities involve building
-
Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
from all backgrounds to join our community. The Nonlinear Systems and Control group is seeking a talented and ambitious Postdoctoral Researcher to develop machine learning-enabled approaches
-
and Sobolev-type spaces (with Hytönen and/or Korte), Conformal deformations of metric measure spaces and/or general regularity and convergence for graph-based machine learning using stochastic game
-
taking the role of corresponding author. Besides the expertise in experimental quantum optics, the candidate will acquire excellent training in grant writing and research leadership provided by Aalto
-
also have a chance to instruct Doctoral researchers and Master thesis candidates and develop towards a more independent position. Background and expertise We are looking for candidates who understand
-
members, including 70 professors. To learn more, please visit eng.aalto.fi. Department of Energy and Mechanical Engineering is a community of around 300 staff members – including 30 tenure track