Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
Uppsala University, Department of Information Technology Are you interested in developing new image analysis and machine learning methods for improved cancer understanding, diagnostics, and
-
of image analysis and machine learning with a minimum of 90 higher education credits. Relevant courses include, for example, image processing, computer vision, machine learning, deep learning and neural
-
qualifications and merits for the position are: • Knowledge and experience on image processing or computer vision • Knowledge and experience on generative AI • Knowledge of data driven methods for modelling and
-
Mälardalen University (MDU) is the youngest university in Sweden. In line with our vision, to be a progressive and collaborative University where we shape a sustainable future together, we wish
-
. Qualifications We are looking for a very motivated and enthusiastic doctoral student who has Competence and skills: -Strong foundation in computer vision (e.g., object detection, image segmentation) and NLP (e.g
-
major national initiative. The vision of WASP is excellent research and competence in artificial intelligence, autonomous systems and software for the benefit of Swedish society and industry. Read more
-
knowledge, and forming intelligent systems-of-systems. The vision of WASP is excellent research and competence in artificial intelligence, autonomous systems and software for the benefit of Swedish society
-
endocrinologist and an international expert in CAH. The research group further consists of two post-doctoral researchers, of which one expert in brain imaging, three other PhD students, psychologists and pediatric
-
including generation and characterization of viral barcode libraries; in vivo barcode delivery into the mouse brain; 3D intact-tissue RNA-sequencing; high resolution imaging using spinning disk confocal
-
antibodies contribute to muscle pain and, if so, to elucidate the underlying mechanisms. This research will involve analyzing human samples, employing advanced imaging techniques, and utilizing in vivo models