Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
methods and AI solutions that support intelligent decisions across society, advancing machine learning techniques, from foundations to industrial and scientific applications. About the research project We
-
you can collaborate with other Doctoral students and postdocs working on similar topics! About us The Department of Computer Science and Engineering , a joint department of Chalmers and the University
-
methods that combine soundscape targets, acoustic metamaterials, physical modelling, inverse design, machine learning and perceptual evaluation. The postdoc will develop models and design methods
-
collaborate with other Doctoral students and postdocs working on similar topics! About us The Department of Computer Science and Engineering , a joint department of Chalmers and the University of Gothenburg
-
at the interface of automatic control, electrochemistry, and machine learning. The position will also involve close collaboration with another postdoctoral researcher working on a complementary project in physics
-
programme in question, the following are considered as other qualifications: Strong foundations in Machine learning and reinformement learning. Cloud computing and cloud technology. Low-level programming and
-
chain, ranging from synthesis, cell assembly, characterization, modeling to scaled-up manufacturing. The 2-year postdoctoral project Machine Learning-based Electro-Chemo-Mechanical Estimation and Control
-
spans computational materials design, catalysis, energy materials, machine learning, and artificial intelligence. We offer a collaborative and international research environment with close interactions
-
Do you want to contribute to the future of AI-driven electric transport systems? Join our research group to develop advanced machine learning methods for electromobility, focusing on energy-aware
-
aims to explore to which extent machine learning methods can help with these tasks, e.g. object reconstruction and signal/background discrimination. This will be a focus in the project. One exciting