Sort by
Refine Your Search
-
Listed
-
Employer
- Karolinska Institutet
- Chalmers University of Technology
- Karolinska Institutet (KI)
- Uppsala universitet
- KTH Royal Institute of Technology
- Linköping University
- Lunds universitet
- Nature Careers
- Swedish University of Agricultural Sciences
- University of Lund
- Blekinge Institute of Technology
- Karlstad University
- SciLifeLab
- Sveriges lantbruksuniversitet
- Umeå University
- 5 more »
- « less
-
Field
-
, integrating advanced image analysis and computational methods to enhance cancer diagnostics and treatment. Our clinical and translational research focuses on digital and computational pathology, molecular
-
at the Department of Computer and Information Science. Work assignments Your task as a postdoctoral fellow will be to conduct research on didactics for cybersecurity. There is a great need for education and training
-
these datasets to detect chromosomal abnormalities and study their breakpoints. Using statistical methods and machine learning, we will explore how these structural variants arise and which recurring structures
-
. About the position The successful candidate will do research on how to improve precision and accuracy in forest soil carbon stock estimates within the project “A better check on soil carbon - a novel
-
predictive strategy to estimate the remaining driving range. The prediction model should consider vehicle design parameters, driving style characteristics, road topology, and real-time traffic and weather
-
caused by cosmic radiation, which cannot be corrected using existing methods. To tackle this issue, we need to understand the underlying problem and develop strategies to mitigate these errors. About the
-
well as Hi-C and transcriptome sequencing. You will use these datasets to detect chromosomal abnormalities and study their breakpoints. Using statistical methods and machine learning, we will explore how
-
11 Feb 2025 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Computer science » Computer architecture Computer science » Programming Computer science » Other
-
methods to learn signals and systems from data. There will be a focus on developing robust methods with mathematical guarantees, focusing on stability, statistical and optimization considerations. We will
-
to improve precision and accuracy in forest soil carbon stock estimates within the project “A better check on soil carbon - a novel sampling and measurement approach for improved precision in soil carbon