Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
increasingly rely on data-driven models to extract, represent, and interpret information from complex and evolving environments. Traditional machine learning approaches, as well as many classical signal
-
transport in solid‑state polymer electrolytes for Li‑ion batteries. The research will focus on developing new and computationally efficient strategies for multiscale modelling, enabling systematic studies
-
both theory and concrete tools to design systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and algorithms. Our research integrates
-
in large language models for healthcare research, with the support of competent and friendly colleagues in an international environment? Are you looking for an employer that invests in sustainable
-
microstructural descriptors that are physically meaningful and predictive. Probabilistic surrogate modelling and digital twin construction. The extracted microstructural descriptors will be used to learn a
-
also connected to the Wallenberg Initiative Materials Science for Sustainability (WISE, https://wise-materials.org ). WISE, funded by the Knut and Alice Wallenberg Foundation, is the largest-ever
-
. At the Division of Systems and Control, we develop both theory and concrete tools to design systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and
-
focuses on leveraging zebrafish as a model organism to develop and optimize genetic tools through a directed evolution pipeline, with significant therapeutic and industrial applications. Key
-
on developing biochar as a sustainable feedstock for hard carbon anodes in sodium-ion batteries. In collaboration with Besca AB (https://www.bescacarbon.com/ ), this project explores microwave plasma technology
-
Infrastructure (https://svenskahistoriskapatent.se ). The group’s research centers on inventors, intermediaries in markets for technology, and the development of firms’ innovation capabilities and technology