Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of Lund
- Chalmers University of Technology
- Swedish University of Agricultural Sciences
- SciLifeLab
- Umeå University
- Linköping University
- Nature Careers
- Lulea University of Technology
- Mälardalen University
- Linnaeus University
- Blekinge Institute of Technology
- Jönköping University
- Karlstad University
- University of Borås
- KTH
- Örebro University
- ;
- European Magnetism Association EMA
- KTH Royal Institute of Technology
- NORDITA-Nordic Institute for Theoretical Physics
- 10 more »
- « less
-
Field
-
characterization methods (potentially including electrochemistry, multiple microscopy modalities, quartz microbalance, impedance spectroscopy) as well as surface modification and characterization and protein
-
postdoc fellow at the AMBER programme you will get unprecedented biological, and methodological capabilities, with a profound potential impact for Europe’s next generation of research and researchers. When
-
techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow at the AMBER programme you will get unprecedented medical
-
. Importance will also be placed on experience of qualitative methods for data collection and analysis. Given the character of the research project importance will also be placed on good knowledge of both
-
The Rantalainen group is focused on application of machine learning and AI for development and validation of predictive models for cancer precision medicine, with a particular focus computational pathology. Our
-
experience of working with healthcare professionals and patients good knowledge of statistical methods including non-parametric methods knowledge of user experience (UX) good communicative ability in Swedish
-
and examine students at every level of education an ability to vary teaching methods and examination formats in relation to anticipated study results and the nature of the subject experience of
-
and RAG modules challenges conventional architectural styles, architecture evaluation methods, and governance models, requiring new approaches for modularity, decoupling, versioning, deployment, and
-
on developing methods for the verification and validation of systems that embed machine learning or generative models, addressing challenges such as non-determinism, data drift, and explainability. The project
-
techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow at the AMBER programme you will get unprecedented medical