Sort by
Refine Your Search
-
Category
-
Program
-
Employer
- SciLifeLab
- University of Lund
- Umeå University
- Nature Careers
- Linköping University
- Chalmers University of Technology
- Örebro University
- Lulea University of Technology
- Mälardalen University
- Swedish University of Agricultural Sciences
- Blekinge Institute of Technology
- Jönköping University
- Linnaeus University
- 3 more »
- « less
-
Field
-
with the Department of Medical and Translational Biology and the Department of Statistics at Umeå University, as well as Umeå Center for Functional Brain Imaging (UFBI). The research environment conducts
-
or explainable AI or safety). Experience in machine learning, causal inference, image processing, human-robot interaction, or large language models. Experience in analyzing multimodal data (e.g., text, sensor
-
research is based on large and high-dimensional datasets across multiple modalities, including molecular, clinical and histopathology imaging data. Our computational pathology research is based
-
computational photography. The specific focus is on research and development of methods and mathematical analysis relevant to perception, image formation, and computer graphics. The general focus is on research
-
pancreatic slice physiology using imaging and functional assays The group is part of SciLifeLab and the Wallenberg Center of Molecular and Translational Medicine (WCMTM), and maintains an active network
-
analysed using advanced optical techniques such as: High-speed imaging Laser-induced fluorescence Particle image velocimetry Experimental and numerical results will be evaluated and compared to refine both
-
carcinoma xenografts in immunocompromised mice. They will treat mice with appropriate chemotherapy regimens and image them using different imaging platforms. Primary human organoids will be established and
-
developing complete models. Example applications include microscopy image data, cryo-electron microscopy, structural prediction and dynamic simulation of biological macromolecules, genomics data, and
-
learning, bioinformatics or advanced statistical methods, to help explore molecular, imaging, clinical and/or epidemiological data. You will apply, adapt and develop machine learning approaches to provide
-
Biomedical Engineering conducts leading research in image analysis, computer vision, and machine learning, with a growing emphasis on generative AI and AI for scientific discovery. Our mission is to develop