92 data "https:" "https:" "https:" "https:" "Linköping University" "IFM" uni jobs at University of Lund in Sweden
Sort by
Refine Your Search
-
environment? Then join us and take the opportunity to make a real difference! For further information, please visit: https://www.lunduniversity.lu.se/about-lund-university/work-lund-university www.sweden.se
-
method will be a combination of system studies, simulations, and experimental research. The research project is a collaboration with Linköping University. Work duties You will primarily devote yourself
-
conduct research in several areas: analysis of high-dimensional data, Bayesian methods, spatial-temporal models, non-Gaussian modeling, applied research in social science, as well as stochastic models and
-
are united in our efforts to understand, explain and improve our world and the human condition. Lund University announces a position of Associate Senior Lecturer in Statistics with a focus on Data Science. The
-
are united in our efforts to understand, explain and improve our world and the human condition. Description of the workplace The position will be placed in the Division for Computer Vision and Machine Learning
-
Doctoral student in Applied Mathematics with a focus on Computer Vision and Spatial AI (PA2026/1165)
are united in our efforts to understand, explain and improve our world and the human condition. Description of the workplace The position will be placed at the Division of Computer Vision and Machine Learning
-
of its initiative to support strong research in information technology and mobile communications. ELLIIT has four partners: Linköping University, Lund University, Halmstad University and Blekinge
-
for Neural Rendering for Computer Graphics and Real-Time Rendering. By using ANNs, coded for high-performance on cross-vendor GPUs, we aim to create new techniques for global illumination and material models
-
. The position is part of the strategic research initiative ELLIIT and is carried out in close collaboration with Linköping University. The project is jointly supervised, with Associate Professor Anders Eklund
-
learning, and distributed algorithms. The project is in collaboration with Linköping University, which includes opportunity for research visits. The project is funded by ELLIIT, a strategic research