Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
This PhD position is part of the WASP-WISE NEST project RAM³ – a multidisciplinary research effort at the intersection of machine learning and materials science. The project brings together PhD
-
, structural biology, and NMR spectroscopy. The successful candidates will become a part of an international multidisciplinary environment and will receive ample opportunities for learning, collaboration and
-
many research synergies coming together on the main thread of machine learning and Artificial Intelligence (AI). The successful candidate will join the newly established research group AI in
-
based on the Arctic region, we create global social benefit. Our scientific and artistic research and education are conducted in close collaboration with international, national and regional companies
-
-Channel Evaluation of Cellular Dynamics (TIMED) , is a 5-year collaboration between researchers at Chalmers University of Technology, Uppsala University, and Karolinska Institute. About us The Department of
-
We are offering a PhD student position in machine learning (ML) theory, focusing on new methods for training models with a limited amount of data. The student will be a part of a new NEST initiative
-
(WASP). The NEST project, Solid Polymer ElectrolytE Discovery (SPEED) , is a 5-year collaboration between researchers at Chalmers University of Technology and Uppsala University. About us The Department
-
scheduling in shared workspaces - Shared autonomy and predictive learning - Human-robot teaming in distributed decision-making Sensing and perception - Collaborative perception and localization - Learning
-
control and its integration with learning-based motion prediction under uncertainty. - Validate methods through simulation and collaboration with industrial partners (Volvo Cars and Volvo Group). - Publish
-
independently. You have the capacity for learning new things, working systematically, and showing flexibility where required. Collaborative skills, accuracy, and subject-related expertise are emphasised