Sort by
Refine Your Search
-
Category
-
Program
-
Employer
- SciLifeLab
- Chalmers University of Technology
- University of Lund
- Linköping University
- Umeå University
- Nature Careers
- Blekinge Institute of Technology
- Lulea University of Technology
- Karlstad University
- Swedish University of Agricultural Sciences
- ;
- Mälardalen University
- WORLD MARITIME UNIVERSITY (WMU)
- 3 more »
- « less
-
Field
-
and Data Science for Spatial Genomics in Diabetes This position centers on the development and application of machine learning, image analysis, and integrative omics approaches to spatial
-
qualifications required for employment as associate professor. The Computer Vision Laboratory (CVL) is looking for an assistant professor in machine learning with a focus on motion analysis from video. CVL is a
-
, implementation of methods in computer codes, use of state-of-the-art high-performance computers in Sweden and in Europe, application of machine-learning and AI techniques, and collaborations with experimental
-
of Molecular Mechanisms and Machines, (IMOL), Poland, and the Leicester Institute of Structural and Chemical Biology, United Kingdom. More information about the total announced post-doctoral positions within in
-
academia and industry. Requirements The following qualifications are required: Solid knowledge in mathematics and statistics, in areas such as linear algebra, probability theory, machine learning, high
-
such as energy, industry, consumption, and urban development. At the research frontier, the application of AI and machine learning is enabling novel pathways for sustainability transitions. These include
-
systems, and machine learning. While the initial focus of the position is on this project, we offer significant opportunity for the applicant to develop their own independent research trajectory in
-
of MSI advances our understanding of complex brain processes. The prospective PhD candidate collects brain MSI data and develops novel machine learning methods in connection to generative models such as
-
on developing methods for the verification and validation of systems that embed machine learning or generative models, addressing challenges such as non-determinism, data drift, and explainability. The project
-
.) experience with statistical methods (Bayesian statistics, machine learning etc.) We offer Lund University is a public authority which means that employees get particular benefits, generous annual leave and an