Sort by
Refine Your Search
-
application! We are seeking a highly motivated PhD student to join a research project at the forefront of battery diagnostics and modelling, that will help shape the future of battery technology by developing
-
, and research literature in a structured and reflective manner. In addition, you should have well-developed problem-solving skills and be able to analyze complex research questions, identify relevant
-
application! Your work assignments Spatio-temporal processes are everywhere in science and engineering, with applications ranging from weather prediction to cardiovascular medicine. Developing machine learning
-
processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) aims to recruit and train the next generation of data-driven life
-
application! The Department of Biomedical Engineering (IMT) conducts advanced research at the intersection of engineering and neuroscience, with a focus on the development and clinical application of minimally
-
education and research that support and benefit each other. Our mission is to encourage innovation and development through which we develop dedicated, innovative student who can improve the world. We have
-
. You will develop dynamic models and apply them, for example, to analyze sociotechnological networks and to model interactions between humans and AI agents (such as LLM-based chatbots and autonomous
-
to the development of several innovative doping methods. More broadly, the research aims to understand and control how molecular interactions, ions, and charge transfer processes determine the electronic properties
-
Do you want to contribute to developing groundbreaking methods for measuring greenhouse gas emissions and biodiversity at the farm level? We seek a PhD student who wants to work with drone- and
-
functional studies using intestinal organoids, combined with analysis of viral evolution during course of infection, will be performed to understand mechanisms behind infection susceptibility, virus