Sort by
Refine Your Search
-
machine learning principles and methods focusing on a few key topics (see “Machine learning foundations” below), often working with researchers of other fields in new exciting applications (see the other
-
the Finnish Center for Artificial Intelligence . His research group develops machine learning principles and methods focusing on a few key topics (see “Machine learning foundations” below), often
-
transport for inverse problems One of the central topics of the research projects is the further development of theory and methods for the concept of optimal transport for inverse problems. Optimal transport
-
identification algorithms that directly interface with physical hardware. We work closely with industry partners, and our research has led to several methods now used in commercial products. We are part of
-
industry partners, and our research has led to several methods now used in commercial products. We are part of the Research Council of Finland Centre of Excellence in High-Speed Electromechanical Energy
-
concerned with optimal transport for inverse problems. Optimal transport for inverse problems One of the central topics of the research projects is the further development of theory and methods
-
, the project pioneers new methods for detecting and mitigating online harms. Its results aim to inform public health, policy, and technology design, promoting resilience and empowering individuals to understand
-
develop methods for the recombinant production of post-translationally modified structural proteins, investigate their effects on material assembly and properties, and design new, functional materials. In
-
functional properties of protein-based materials. In this position, you will develop methods for the recombinant production of post-translationally modified structural proteins, investigate their effects
-
, including architecture, computational design, computer science, or related fields, who have a proven track record of applying advanced computational methods to real-world environmental challenges. A doctoral