Sort by
Refine Your Search
-
Listed
-
Field
-
in machine learning for continuous and discrete structures. The department has been growing rapidly in recent years. An inclusive and participatory environment are key elements in our growth. The 60
-
develop privacy-aware machine learning (ML) models. We are interested in building models that are explainable and are extracted from complex and heterogeneous data. Within explainable ML, we are interested
-
26th 2024. Project description and tasks Machine learning (‘artificial intelligence’) is having an immense impact on both society at large and research especially, and this impact is expected to increase
-
of topics in modern machine learning research, including geometric deep learning, non-convex optimization problems and federated learning. In addition, this project is deeply connected with
-
problem or what heuristics organisms might evolve. This research project is a collaboration between Eric Libby and Laura Carroll. It involves using machine learning techniques to infer the mechanisms by
-
the development of new techniques for rehabilitation and functional impairments of injuries to the upper extremity supported by machine learning and neural networks. The position is an initiative within
-
will be predominantly conducted in English. Experience in broad areas of expertise, including machine learning algorithm development, statistical methods, distributed learning, and cybersecurity, is
-
etc.) Automated reasoning Machine learning Candidates are expected to have good knowledge in Artificial Intelligence and good programming skills in some of the following: Python, PyTorch library, OpenAI