35 image-vision PhD positions in Sweden

PhD student in Computerized Image Processing with focus on Applications in Biomedicine

. Relevant courses include, for example, image processing, computer vision, machine learning, deep learning and neural networks, as well as courses in python, GPU programming, mathematical modeling and

PhD student position in geometric deep learning

and self-supervised learning. The research group The Computer Vision Group conducts research in the field of automatic image interpretation and perceptual scene understanding. The group targets both

PhD student position in deep generative modeling for medical image analysis

Are you passionate about pushing the frontiers of machine learning, computer vision, and their applications in medical imaging? Join the Computer Vision Group as a PhD student specializing in deep

PhD student position in geometric deep learning

of machine learning and 3D computer vision. As a candidate, you'll have the chance to develop theoretical concepts and innovative methodologies while contributing to real-world imaging applications. Moreover

PhD student in Computerized Image Processing with focus on Applications in Biomedicine

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 networks, as

Industrial PhD position – Automated generation of renal pathology endpoints and reports (DDLS Research School)

) at KTH. The position will be based at KTH in Stockholm, Sweden. Accountabilities As part of this role, you will be responsible for integrating multiple types of data, mainly histopathology digital images

PhD student in energy and environmental engineering with a focus on artificial intelligence and computer vision

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

PhD position in mathematics or mathematical statistics, with focus on geometric deep learning

(equivariant networks). Examples of such symmetries are symmetries towards rotations of point clouds, translations of images or permutations of nodes in graphs. Combining the geometric/algebraic theory of (group

Doctoral (PhD) student position in neuroscience

electrophysiological recordings or calcium imaging of neuronal activity. Optogenetics and tracing of neuronal networks are other central technologies. For more information see: https://ki.se/en/neuro/carlenlab

PhD position in mathematics or mathematical statistics, with focus on geometric deep learning

of images or permutations of nodes in graphs. Combining the geometric/algebraic theory of (group) symmetries with the more analytical/statistical theory of machine learning allows for mathematically