Sort by
Refine Your Search
-
to demonstrate documented proficiency in English. You have knowledge and expertise in computer vision and/or medical image analysis, deep learning as well as mathematics. You have substantial expertise in
-
project. The project will also employ a PhD student at Lund University, focusing on developing hybrid architectures for deep learning-based image processing and methods for multimodal medical data. We will
-
application! We are looking for two PhD candidates in the research environment “Culture and Society” with a focus on Digital Society, Infrastructure, Legacies. Your work assignments We are advertising two PhD
-
. They have led to a plethora of important downstream applications, such as image and material generation, scientific computing, and Bayesian inverse problems. At the core of these models are differential
-
. Application procedure Apply for the position by clicking the “Apply” button below. Your application must reach Linköping University no later than May 15, 2026. Applications and documents received after the date
-
wood and wood-derived polymers into functional materials with properties such as high mechanical performance, transparency, processability, or recyclability. Questions that may be explored during your
-
such as high mechanical performance, transparency, processability, or recyclability. Questions that may be explored during your PhD include: How can the chemical functionality of wood and wood-derived
-
. More information about employment benefits at Linköping University is available here. Union representatives Information about union representatives, see Help for applicants . Application procedure Apply
-
at Linköping University is available here. Union representatives Information about union representatives, see Help for applicants . Application procedure Apply for the position by clicking the “Apply” button
-
for Communication Systems carries out research, undergraduate and postgraduate education in communications engineering, statistical signal processing, network science, and decentralized machine learning. Welcome